\nConsumers are increasingly asking if the brands they trust are “sustainable” – that is, produced under acceptable social, economic and environmental practices. Companies have responded by setting targets for becoming “100% sustainable”. However, traditional approaches for verifying sustainability face challenges reaching farmers that are too small, too remote, or informally organized. Enveritas (www.enveritas.org) is building solutions for smallholder coffee farmers that are currently beyond the reach of existing sustainability certification or verification approaches. We have developed a rigorous, scalable and transparent method of verification that works in this “underserved space.” This verification is the backbone of our Responsible Sourcing platform that helps companies meet their sustainability targets by investing in the areas that need it most. \n\nSummary:\n\nWe are looking for a Junior Data Analyst to join our team. The Junior Data Analyst will be managing, analyzing, and cleaning data on a real-time basis, providing feedback to field teams, and collaborating with members of the Enveritas’ team. The Junior Data Analyst will also perform ad-hoc data analysis to monitor the quality of surveys and help manage and coordinate field team logistics, primarily in Papua New Guinea. This person will mainly help operational work in Papua New Guinea and can generate and execute on new opportunities in the region, in other countries.\n\nWhat you'll do:\n\n\n* Lead the day-to-day, end-to-end data quality process in multiple countries, primarily in Papua New Guinea: \n\n\n* Customize our surveys (e.g., smallholder, estate) for the country\n\n* Train enumerator teams on data collection methodology and tools; create/review retraining documents and sessions where needed \n\n* Generate and analyze daily quality control reports from survey data \n\n* Review daily and weekly quality control reports, and communicate with field teams to correct mistakes and improve data quality \n\n* Monitor data quality collected on a daily basis, and report results to Data and Insights manager \n\n* Identify and solve survey or logistical issues during survey collection \n\n* Conduct data analyses, and support insights generation and reporting \n\n\n\n\n\n* Coordinate the work of field survey teams alongside the Operations Manager; this includes travel 10-20% of the year\n\n* Conduct research, data analysis projects, and engage with local & regional stakeholders to better understand coffee industry dynamics, especially for Papua New Guinea  \n\n* Test, design and improve Data Quality tools and survey questionnaires using smartphones\n\n* Support and implement special projects and other ad hoc requests, especially in Papua New Guinea \n\n* Other duties as assigned\n\n\n\n\n\n\nOccupational/Technical Skills\n\n\n* Data-driven: Experience managing and conducting quantitative and qualitative research, with strong data quality management knowledge, is highly desirable \n\n* Detail-oriented: High attention to detail, able to help field teams improve data quality\n\n* Computer skills: Proficiency in Microsoft Office and Google Docs applications, and familiar with quantitative data collection software/platforms. Knowledge of programming languages (Python) and geographic information systems (GIS) applications such as QGIS, Google Earth are beneficial, but not required.\n\n\n\n\nRequirements:\n\n\n* Education: Bachelor degree in the field of development studies, statistics, plant science, agriculture, community development, environmental development, agribusiness, or other relevant disciplines.\n\n* Experience: 1+years experience in agriculture sectors (experience in coffee industry is highly desirable)\n\n* Other soft skills: Flexible problem-solving attitude, clear track record of working in a fast-paced, multicultural environment\n\n* Languages: Fluency in English and at least speaking one of the local languages (Tok Pisin, Hiri Motu)\n\n* Attitudes: Strong work ethic and professionalism, particularly when doing independent and remote work, eagerness to learn, careful and highly responsible person.\n\n\n\n\nHow to Apply\n\nPlease apply here. Feel free to contact us at [email protected] should you have any questions about the position, the interview process, or if you require any adjustments to ensure a fair and equitable application process. Questions about this opportunity or process will not reflect negatively on your application.\n\nWe recognize that people come with a wealth of experience and talent beyond what we list as qualifications. Your life experiences help build core competencies and knowledge that may be transferable to our openings. Therefore, we encourage people from all backgrounds to apply to our positions.\n\nOur work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted on our Greenhouse board at https://boards.greenhouse.io/enveritas. All recruiting emails from Enveritas team members will come through Greenhouse or from @enveritas.org. If you have any concerns about employment opportunities or contact from someone supposedly representing Enveritas, please reach out to us at [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Travel and Junior jobs that are similar:\n\n $70,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nGoroka, Eastern Highlands, Papua New Guinea

\nDo you want to work for a mission-driven non-profit, writing software that will contribute to helping the livelihoods of millions of coffee farmers around the world? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering & Data Group. You can learn more about this job and about our Backend and Data Engineering Team at https://www.enveritas.org/jobs/backend-software-eng/\n\nWe are looking for two backend software engineers with a focus on python and PostgreSQL to join us on a remote/global, full-time basis. Our Backend and Data Engineering Team is a four-person team (soon to be six!) and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.\n\nAbout Our Backend & Data Engineering Team\n\nThe Backend & Data Engineering Team builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers. \n\nOur backend services primarily use a Python/PostgreSQL stack running on Linux. We use git and Github for maintaining our code, CircleCI for CI/CD, and AWS for hosting our services and static resources, with containerization where appropriate for development and deployment.\n\nWhat You’ll Be Doing\n\nYou will contribute to major feature planning and development, both independently and in collaboration with your teammates.\n\n\n* Implement new features on our core platforms, Jebena and Sini. You’ll participate in long-term planning and product roadmaps, collaborate with product managers on writing specs for the team to implement, and develop features from specs. You should be comfortable collaborating with non-Engineering teams to understand their feature needs. A lion’s share of your time will be spent working with Python and PostgreSQL to add features to our internal platforms.\n\n* Maintenance and enhancements of existing code. You’ll work with other engineers to triage and resolve incoming issues (we use Sentry).\n\n* Manage AWS services. In tandem with our Head of IT, a part of this role includes helping manage our AWS account, including reviewing our CI/CD setup and proposing ways to further automate and secure our setup, including expanding our usage of Terraform.\n\n\n\n\nQualifications\n\n\n* Strong grasp of design patterns for building software that is well-encapsulated, performant, and elegant.\n\n* Extensive experience with Python and PostgreSQL, and creating well-designed data models.\n\n* Minimum of five years of full time professional experience as a backend software engineer.\n\n* Familiarity with Linux, bash, docker containers, AWS services (EC2, RDS, CloudFront), and CI/CD setups.\n\n* A degree in computer science, or equivalent training in the principles of software engineering.\n\n* Excellent communication and analytical skills.\n\n\n\n\nResearch shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team.\n\nWho You Are\n\nOur team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.\n\nYou should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.\n\nWe are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.\n\nAbout Working With Us & Compensation\n\nEnveritas has teams around the world: we are about 100 people spread over more than two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/\n\nFor a US-Based hire, base salary for this position will be between $130,000 and $150,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 standard holidays, and personal/sick time.\n\nFor a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.\n\nFor all staff, we are able to offer:\n\n\n* Annual all-company retreat and annual group retreat.\n\n* Annual education budget for conferences, books, and other professional development opportunities.\n\n* Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.\n\n\n\n\nInterview Process\n\nWe are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application. \n\nAfter your introductory interview, we expect your interview process to take four to six weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.  See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about each of these interviews.\n\n\n* Introductory Interview (30 minutes; Google Meet; audio-only)\n\n* First Technical Interview (60 minutes; Google Meet)\n\n* Second Technical Interview (60-90 minutes; Google Meet)\n\n* Manager Interview (45-60 minutes; Google Meet)\n\n\n\n\nHow to Apply\n\nPlease apply using our Greenhouse application form. Feel free to contact us at [email protected] should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.\n\nWe care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, Git, Engineer and Backend jobs that are similar:\n\n $90,000 — $122,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

\nDo you want to work for a mission-driven non-profit, writing software that will contribute to helping the livelihoods of millions of coffee farmers around the world? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering & Data Group. You can learn more about this job and about our Backend and Data Engineering Team at https://www.enveritas.org/jobs/backend-software-eng/\n\nWe are looking for two backend software engineers with a focus on python and PostgreSQL to join us on a remote/global, full-time basis. Our Backend and Data Engineering Team is a four-person team (soon to be six!) and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.\n\nAbout Our Backend & Data Engineering Team\n\nThe Backend & Data Engineering Team builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers. \n\nOur backend services primarily use a Python/PostgreSQL stack running on Linux. We use git and Github for maintaining our code, CircleCI for CI/CD, and AWS for hosting our services and static resources, with containerization where appropriate for development and deployment.\n\nWhat You’ll Be Doing\n\nYou will contribute to major feature planning and development, both independently and in collaboration with your teammates.\n\n\n* Implement new features on our core platforms, Jebena and Sini. You’ll participate in long-term planning and product roadmaps, collaborate with product managers on writing specs for the team to implement, and develop features from specs. You should be comfortable collaborating with non-Engineering teams to understand their feature needs. A lion’s share of your time will be spent working with Python and PostgreSQL to add features to our internal platforms.\n\n* Maintenance and enhancements of existing code. You’ll work with other engineers to triage and resolve incoming issues (we use Sentry).\n\n* Manage AWS services. In tandem with our Head of IT, a part of this role includes helping manage our AWS account, including reviewing our CI/CD setup and proposing ways to further automate and secure our setup, including expanding our usage of Terraform.\n\n\n\n\nQualifications\n\n\n* Strong grasp of design patterns for building software that is well-encapsulated, performant, and elegant.\n\n* Extensive experience with Python and PostgreSQL, and creating well-designed data models.\n\n* Minimum of five years of full time professional experience as a backend software engineer.\n\n* Familiarity with Linux, bash, docker containers, AWS services (EC2, RDS, CloudFront), and CI/CD setups.\n\n* A degree in computer science, or equivalent training in the principles of software engineering.\n\n* Excellent communication and analytical skills.\n\n\n\n\nResearch shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team.\n\nWho You Are\n\nOur team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.\n\nYou should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.\n\nWe are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.\n\nAbout Working With Us & Compensation\n\nEnveritas has teams around the world: we are about 100 people spread over more than two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/\n\nFor a US-Based hire, base salary for this position will be between $130,000 and $150,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 standard holidays, and personal/sick time.\n\nFor a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.\n\nFor all staff, we are able to offer:\n\n\n* Annual all-company retreat and annual group retreat.\n\n* Annual education budget for conferences, books, and other professional development opportunities.\n\n* Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.\n\n\n\n\nInterview Process\n\nWe are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application. \n\nAfter your introductory interview, we expect your interview process to take four to six weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.  See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about each of these interviews.\n\n\n* Introductory Interview (30 minutes; Google Meet; audio-only)\n\n* First Technical Interview (60 minutes; Google Meet)\n\n* Second Technical Interview (60-90 minutes; Google Meet)\n\n* Manager Interview (45-60 minutes; Google Meet)\n\n\n\n\nHow to Apply\n\nPlease apply using our Greenhouse application form. Feel free to contact us at [email protected] should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.\n\nWe care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, Git, Engineer and Backend jobs that are similar:\n\n $90,000 — $122,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

\nData Scientist, Engineering & Data Group\n\nDo you want to work for a mission-driven non-profit, analyzing data and writing software that will contribute to helping millions of coffee farmers out of poverty? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire a Data Scientist for our Data Team. \n\nWe are looking for a Data Scientist with extensive professional experience to join our Engineering and Data Group on a remote, full-time basis. This position is open globally, based on locations supported by our EOR partner, Deel. You can learn more about this role at https://www.enveritas.org/jobs/data-scientist.\n\nOur Engineering and Data Group is a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.\n\nAbout Our Data Team\n\nThe Data Team's mission is to leverage data analytics to drive Enveritas' efforts in improving the livelihoods of smallholder farmers around the world. We are responsible for ensuring that we collect high quality data, we leverage it to generate actionable insights that support smallholder farmers worldwide, and we make the data and insights accessible to other teams, such as the Operations and Partnerships Team.\n\nTo improve the quality of our data collection process, we create tools to support our Country Operations teams. These tools enable the detection of outliers and automating quality control processes while collecting our survey data. \n\nWe are also responsible for the transformation of our raw data into insights. This includes writing the code that scores our standards, and creating models that give new insights about smallholder farming. For example, we estimate the cost farmers face when growing coffee to know if they earn a livable income.\n\nOur programming languages of choice are Python and SQL (we use PostgreSQL), although some of our analysis is also done in R. We use git for version control, Github for hosting our repositories, and pytest for automated testing. Our internal BI tool is Looker.\n\nWhat You’ll Be Doing\n\nProviding technical oversight and mentorship. You will provide technical oversight to the models the Data Team produces. Additionally, you will offer guidance on and document statistical best practices and methodologies, helping to elevate the overall analytical capabilities within the Data Team and the organization.\n\nBuild models to create new insights from our data. You will identify opportunities for creating models using the data we collect. Engage with the Operations and Partnerships teams to generate ideas for models that would be beneficial for them, and the coffee and cocoa community. This includes using Python to craft these models, incorporating them into our data pipeline, and effectively synthesizing, visualizing, and conveying the results.\n\nServe as internal statistics consultant. Undertake the role of an internal statistical advisor, providing expertise across the organization for all statistics-related matters. This includes aiding teams in developing innovative sampling methods, calculating appropriate sample sizes, interpreting data analysis results, and ensuring the statistical integrity of projects and data collection. \n\nWho You Are\n\nOur team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere, our core hours are 10am to 2pm Eastern Time Monday through Friday, with team members choosing either an early start or later stop as suits them.\n\nOur work is often ambiguous, so you should have a love for environments with uncertainty. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. You should also be willing to engage in a broad range of tasks beyond standard data science functions, and you are not afraid of using a simple model that gets the job done.\n\n \n\nQualifications\n\nRead this first: Research shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team. This said, we are most likely to be interested in your candidacy if you can demonstrate the majority of the qualifications listed below:\n\n\n* Extensive professional experience as a data scientist, a statistician, or equivalent.\n\n* Hands-on experience building and deploying statistical models. Strong theoretical knowledge of probability and statistics.\n\n* Intermediate Python. Experience with good software engineering practices such as reproducible environments, testing, and code quality.\n\n* A desire to apply your skills at a non-profit working to improve the livelihoods of smallholder farmers.\n\n* Have experience or expertise in one or more of the following:\n\n\n* Building sustainability or agricultural models.\n\n* Advanced statistical modeling.\n\n* Survey sampling.\n\n* Survey methodology.\n\n* Bayesian statistical modeling.\n\n* Data Management.\n\n* Causal inference.\n\n* Managing teams.\n\n\n\n\n\n\n\n\n \n\nAbout Working With Us & Compensation\n\nEnveritas has teams around the world: we are about 90 people spread over almost two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/\n\nFor a US-Based hire, base salary for this position will be between $110,000-$130,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 12 standard holidays, and personal/sick time.\n\nFor a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.\n\nFor all staff, we are able to offer:\n\n\n* Annual education budget for conferences, books, and other professional development opportunities.\n\n* Annual all-company retreat and annual group retreat.\n\n* Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.\n\n\n\n\nInterview Process\n\nWe are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application. \n\nAfter your introductory interview, we expect your interview process to take four to six weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.  See the hiring page at https://www.enveritas.org/jobs/data-scientist/ for details about each of these interviews.\n\n\n* Introductory Interview (30 minutes; Google Meet; audio-only)\n\n* First Technical Interview (60-90 minutes; Google Meet video)\n\n* Second Technical Interview (60-90 minutes; Google Meet video)\n\n* Manager Interview (45 minutes; Google Meet video)\n\n\n\n\nHow to Apply\n\nPlease apply here. Feel free to contact us at [email protected] should you have any questions about the position, the interview process, or if you require any adjustments to ensure a fair and equitable application process. Questions about this opportunity or process will not reflect negatively on your application.\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted on our Greenhouse board at https://boards.greenhouse.io/enveritas or Lever board at https://jobs.lever.co/Enveritas. All recruiting emails from Enveritas team members will come through Lever or from @enveritas.org. If you have any concerns about employment opportunities or contact from someone supposedly representing Enveritas, please reach out to us at [email protected] \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python and Git jobs that are similar:\n\n $95,000 — $127,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nDo you want to work for a mission-driven non-profit, writing software that will contribute to helping the livelihoods of millions of coffee farmers around the world? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering & Data Group. You can learn more about this job and about our Backend and Data Engineering Team at https://www.enveritas.org/jobs/backend-software-eng/\n\nWe are looking for two backend software engineers with a focus on python and PostgreSQL to join us on a remote/global, full-time basis. Our Backend and Data Engineering Team is a four-person team (soon to be six!) and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.\n\nAbout Our Backend & Data Engineering Team\n\nThe Backend & Data Engineering Team builds software to collect, analyze, and report data about coffee farmers’ conditions and practices. This large-scale data-collection effort requires many moving parts to work together, and we use technology to support that effort at every step of the process — from identifying coffee farms in satellite imagery, to coordinating survey edits across country teams, to detecting data anomalies in real-time that can be investigated while teams are still in the field. A core part of our work is in data aggregation and report generation, with insights ultimately being shared with roasters and other stakeholders on how to assist in improving the social, economic, and environmental conditions of smallholder farmers. \n\nWhile our tooling varies across internal products, our backend services primarily use a Python/PostgreSQL stack running on Linux to run our GraphQL APIs. We use git and Github for maintaining our code, CircleCI for CI/CD, and AWS for hosting our services and static resources, with containerization where appropriate for development and deployment. We've begun working with Terraform.\n\nWhat You’ll Be Doing\n\nYou will contribute to major feature planning and development, both independently and in collaboration with your teammates.\n\n\n* Implement new features on our core platforms, Jebena and Sini. You’ll participate in long-term planning and product roadmaps, collaborate with product managers on writing specs for the team to implement, and develop features from specs. You should be comfortable collaborating with non-Engineering teams to understand their feature needs. A lion’s share of your time will be spent working with Python and PostgreSQL to add features to our internal platforms.\n\n* Maintenance and enhancements of existing code. You’ll work with other engineers to triage and resolve incoming issues (we use Sentry). Our team also reserves Fridays for bug-fixing, resolving technical debt, and discovering/relieving pain-points for our users.\n\n* Manage AWS services. In tandem with our Head of IT, a part of this role includes helping manage our AWS account, including reviewing our CI/CD setup and proposing ways to further automate and secure our setup, including expanding our usage of Terraform.\n\n\n\n\nQualifications\n\nRead this first: research shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team. This said, we are most likely to be interested in your candidacy if you can demonstrate the majority of the qualifications listed below:\n\n\n* A degree in computer science, or equivalent training in the principles of software engineering.\n\n* Strong grasp of design patterns for building software that is well-encapsulated, performant, and elegant.\n\n* Multiple years of professional experience as a backend engineer in more than one team environment, including both developing engineering specs and writing code in Python.\n\n* Extensive experience with Python and PostgreSQL, and creating well-designed data models.\n\n* Background developing applications that provide HTTP-based APIs.\n\n* Familiarity with docker containers, AWS services (EC2, RDS, CloudFront), and CI/CD setups.\n\n* Excellent communication and analytical skills.\n\n\n\n\nWho You Are\n\nOur team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere that our EOR (Deel) supports, our core hours are 10am to 2pm Eastern Time, Monday through Friday, with team members choosing either an early start or later stop as suits them.\n\nYou should be inspired by our mission to improve the lives of smallholder coffee farmers, and have an interest in sustainability. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams. Because operational and business needs can be ambiguous and change on a short time-scale, you should have a love for environments with uncertainty, and enjoy not only solving problems, but discovering and demystifying them.\n\nWe are a small team! You should be comfortable working both independently and as a thoughtful collaborator, sensitive to the legibility and maintainability of your code when in the hands of your teammates.\n\nAbout Working With Us & Compensation\n\nEnveritas has teams around the world: we are about 100 people spread over almost two dozen countries, and of all backgrounds, faiths, and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/\n\nFor a US-Based hire, base salary for this position will be between $130,000 and $150,000 annually (paid semi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 13 standard holidays, and personal/sick time.\n\nFor a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for this position will be paid in relevant local currency.\n\nFor all staff, we are able to offer:\n\n\n* Annual education budget for conferences, books, and other professional development opportunities.\n\n* Annual all-company retreat.\n\n* Field visits to our Country Ops teams in coffee-growing countries such as Colombia, Costa Rica, Ethiopia, and Indonesia.\n\n\n\n\nInterview Process\n\nWe are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application. \n\nAfter your introductory interview, we expect your interview process to take three to four weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews.  See the hiring page at https://www.enveritas.org/jobs/backend-software-eng/ for details about each of these interviews, including links to our interview prompts as available.\n\n\n* Introductory Interview (30 minutes; Google Meet; audio-only)\n\n* First Technical Interview (60 minutes; Google Meet)\n\n* Second Technical Interview (60-90 minutes; Google Meet)\n\n* Manager Interview (45-60 minutes; Google Meet)\n\n\n\n\nHow to Apply\n\nPlease apply using our Greenhouse application form. Feel free to contact us at [email protected] should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.\n\nWe care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​\n\nA few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, GraphQL, Python, Docker, Education, Git, Engineer, Linux and Backend jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n