\nAbout Super.com\n\n\nWe started Super.com to help maximize lives–both the lives of our customers and the lives of our employees– so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.  \n\n\nWe are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.\n\n\nAbout this role\nAs a staff full-stack engineer you will be one of the most senior technical contributors on our teams. You will tackle the most difficult technical challenges the team faces spanning both frontend and backend web development work. This will include building features for our fintech, travel, eCommerce, and/or superapp products along with the engines and frameworks that power them. You will predominantly work with React on the frontend, and a combination of Python and Node microservices on the backend. Other technologies you’ll work with include Gitlab, AWS, Postgres, Redis, Datadog, Amplitude, and Snowflake. You will report to an Engineering Manager. From a Senior Engineer you may grow on the IC track into a Staff Software Engineer or on the people track into an Engineering Manager.\n\n\n\nAbout You\n* We’re looking for highly-motivated self-starters who share our excitement for growth and impact\n* Willing and able to work with both backend and frontend parts of the stack, though the proportion of time spent doing each will be influenced by the candidate’s interests\n* Interested in building products in a startup environment: moving quickly, being data-driven, wearing multiple hats, continuously learning\n* Strong communicator, and able to thrive on an agile team, contributing to: standups, sprint ceremonies, and quarterly project planning, and working with various internal and external stakeholders\n* Highly motivated, have a strong sense of ownership, and are able to drive complex projects end-to-end\n* 8+ years of professional working experience in software development, including 5+ years of Python or Node on the backend, and 5+ years working with a modern frontend JS framework (ex. React, Vue, Angular)\n* Experience working with web services / modern web technologies and comfortable tackling system design challenges\n* Have mentored more junior developers\n\n\n\nChallenges you'll solve\n* Ship projects end-to-end in a fast-paced, iterative environment\n* Have the opportunity to very meaningfully propel the business forward, and experience the impact of your work on the company’s business metrics and user experience\n* Own features, services, caches, and databases, including deployment, monitoring, debugging, and testing\n* Uphold standards for quality by performing code reviews\n* Mentor junior developers\n* Participate in cross-functional team projects, work with external stakeholders, and help shape the roadmap for future team projects\n* Be data-driven and close to the customer, conducting experiments for nearly everything you launch\n\n\n\nBonus Points\n* Working experience across a breadth of our infrastructure, languages and stacks (React, Python, Node, Gitlab, AWS, Docker, Postgres, Redis, Datadog, Amplitude, and Snowflake)\n* SQL / analytics know-how, and experience with devops concepts\n* Experience in a startup environment\n* Worked closely with business stakeholders\n* Experience writing end-to-end/browser-based tests\n\n\n\nWe've got you covered!\n* Competitive salary packages, equity options, great benefits from day one, wellness budgets, as well as personal and team-level development budgets  \n* We are remote first – you have the flexibility to work from around the world and the hours that make sense for you– so that you can do your best work while living life on your own terms \n* Other perks include: unlimited PTO, recharge days, travel discounts on SuperTravel, Weekly UberEats credit\n* We welcome new family additions with generous parental leave and a flexible return-to-work plan\n* This is just scratching the surface – check out our careers site for a more detailed overview of our perks & benefits\n\n\n\n\n\n$125,000 - $210,000 a yearAs part of our compensation philosophy at Super.com we benchmark roles based on geographic location. The base salary range for this position is $125,000 CDN - $210,000 CDN.\n\nWe Believe in Equal Opportunity \n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. \n\n\nAccommodations are available on request for candidates taking part in all aspects of the selection process. If needed, please notify our Talent Acquisition Partner. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, React, Python, DevOps, Node, Senior, Junior, Engineer and Backend jobs that are similar:\n\n $60,000 — $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\nVancouver

\nBy making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks. \n\nCorelight is a cybersecurity company that transforms network and cloud activity into evidence.  Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools.  Easily deployed, and available in traditional and SaaS-based formats, Corelight is the fastest-growing Network Detection and Response (NDR) platform in the industry.  And we are the only NDR platform that leverages the power of Open Source projects in addition to our own technology to deliver Intrusion Detection (IDS), Network Security Monitoring (NSM), and Smart PCAP solutions.  We sell to some of the most sensitive, mission critical large enterprises and government agencies in the world.\n\nAs the Lead Software Development Engineer in Test (SDET), you will play a pivotal role in ensuring the quality and reliability of our software products by leading the development of automated testing frameworks for application and performance testing. Your expertise in Python, AWS, and knowledge of network security and Zeek will be instrumental in designing, building, and maintaining robust testing solutions. Additionally, you will be responsible for diagnosing and resolving production issues efficiently to minimize downtime and ensure a seamless user experience.\n\n\nResponsibilities\n\n\n* Lead the design, development, and implementation of automated testing frameworks for application and performance testing.\n\n* Collaborate with cross-functional teams to define testing strategies and requirements, ensuring comprehensive test coverage.\n\n* Utilize your proficiency in Python programming language to develop and maintain test scripts, ensuring the accuracy and reliability of automated tests.\n\n* Leverage AWS services and resources to optimize test environments and infrastructure for scalability, reliability, and efficiency.\n\n* Apply your knowledge of network security principles and technologies to implement effective security testing strategies.\n\n* Diagnose and troubleshoot production issues promptly to identify root causes and minimize downtime.\n\n* Provide timely fixes and patches to address production issues, collaborating with development and operations teams as needed.\n\n* Drive the continuous improvement of testing processes, tools, and methodologies to enhance efficiency and effectiveness.\n\n* Stay updated on industry best practices, emerging technologies, and trends in software testing and development.\n\n* Provide technical leadership and guidance to the testing team, mentoring junior members and fostering a culture of excellence.\n\n\n\n\nMinimum Qualifications\n\n\n* Strong appreciation and support for our core values: low ego results, tireless service, and applied curiosity.\n\n* Proven experience (6+ years) in software development and testing, with a focus on automation.\n\n* Proficiency in Python programming language.\n\n* Strong knowledge and hands-on experience with AWS services and cloud infrastructure.\n\n* Familiarity with performance testing tools and methodologies.\n\n\n\n\nPreferred Qualifications\n\n\n* Experience using Docker, Kubernetes, and containerized microservices.\n\n* Knowledge of Relational and NoSQL databases.\n\n* Experience adopting & using Agile development methodologies\n\n* Excellent communication skills. You thrive by collaborating with multiple teams and use your communication skills to influence product directions.\n\n* Bachelor's degree in Computer Science or related fields, or equivalent experience\n\n\n\n\nWe are proud of our culture and values - driving diversity of background and thought, low-ego results, applied curiosity and tireless service to our customers and community.  Corelight is committed to a geographically dispersed yet connected employee base with employees working from home and office locations around the world.  Fueled by an accelerating revenue stream, and investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight - we are rapidly expanding our team.  \n\nCheck us out at www.corelight.com\n\nNotice of Pay Transparency:\nThe compensation for this position ranges from $180,000 - $218,000/year and may vary depending on factors such as your location, skills and experience.  Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus.  Equity and additional benefits will also be awarded. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Testing, Cloud, NoSQL, Junior and Engineer jobs that are similar:\n\n $60,000 — $97,500/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\nSan Francisco, California, United States

\nPython Software Engineer, Boulder, Colorado, United States OR Remote within U.S. for well qualified candidates \n\n \n\nAbout Ascend \n\nAscend Analytics is an innovative climate technology software and consulting company focused on energy analytics to support an increasingly complex power grid. The company’s products enhance critical power supply decisions for an array of key energy market stakeholders, from short-term operating strategies to long-term investment and resource planning. Ascend recently announced a strategic growth investment from prominent software and climate technology investors Rubicon Technology Partners, a private equity firm which is focused on investing in and growing software companies, Galvanize Climate Solutions, which invests in companies and solutions advancing the energy transition, and Silversmith Capital Partners, a technology-focused growth equity firm. Read more about how the investment will accelerate Ascend’s product innovation here.  To learn more about Ascend, please visit us at www.ascendanalytics.com. \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\nJob Responsibilities \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\nRequired Qualifications\n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n5+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications\n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000            \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact 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, Design, Cloud, Junior, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $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\nBoulder, Colorado, United States

\nWe currently seeking a Senior Data Engineer with 5-7 years’ experience. The ideal candidate would have the ability to work independently within an AGILE working environment and have experience working with cloud infrastructure leveraging tools such as Apache Airflow, Databricks, DBT and Snowflake. A familiarity with real-time data processing and AI implementation is advantageous.  \n\n\n\nResponsibilities:\n* Design, build, and maintain scalable and robust data pipelines to support analytics and machine learning models, ensuring high data quality and reliability for both batch & real-time use cases.\n* Design, maintain, optimize data models and data structures in tooling such as Snowflake and Databricks. \n* Leverage Databricks for big data processing, ensuring efficient management of Spark jobs and seamless integration with other data services.\n* Utilize PySpark and/or Ray to build and scale distributed computing tasks, enhancing the performance of machine learning model training and inference processes.\n* Monitor, troubleshoot, and resolve issues within data pipelines and infrastructure, implementing best practices for data engineering and continuous improvement.\n* Diagrammatically document data engineering workflows. \n* Collaborate with other Data Engineers, Product Owners, Software Developers and Machine Learning Engineers to implement new product features by understanding their needs and delivery timeously. \n\n\n\nQualifications:\n* Minimum of 3 years experience deploying enterprise level scalable data engineering solutions.\n* Strong examples of independently developed data pipelines end-to-end, from problem formulation, raw data, to implementation, optimization, and result.\n* Proven track record of building and managing scalable cloud-based infrastructure on AWS (incl. S3, Dynamo DB, EMR). \n* Proven track record of implementing and managing of AI model lifecycle in a production environment.\n* Experience using Apache Airflow (or equivalent) , Snowflake, Lucene-based search engines.\n* Experience with Databricks (Delta format, Unity Catalog).\n* Advanced SQL and Python knowledge with associated coding experience.\n* Strong Experience with DevOps practices for continuous integration and continuous delivery (CI/CD).\n* Experience wrangling structured & unstructured file formats (Parquet, CSV, JSON).\n* Understanding and implementation of best practices within ETL end ELT processes.\n* Data Quality best practice implementation using Great Expectations.\n* Real-time data processing experience using Apache Kafka Experience (or equivalent) will be advantageous.\n* Work independently with minimal supervision.\n* Takes initiative and is action-focused.\n* Mentor and share knowledge with junior team members.\n* Collaborative with a strong ability to work in cross-functional teams.\n* Excellent communication skills with the ability to communicate with stakeholders across varying interest groups.\n* Fluency in spoken and written English.\n\n\n\n\n\n#LI-RT9\n\n\nEdelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.\n\n\nWe use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.\n\n\nDXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution. DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.\n\n\nTo learn more, visit: https://www.edelmandxi.com \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $60,000 — $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

\nPython Engineer, Boulder, CO OR Remote within U.S. for well qualified candidates\n\n \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\n \n\nAscend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com. \n\nJob Responsibilities \n\nSupport and advance back-end software applications by: \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\n \n\nRequired Qualifications \n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n2+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications \n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000, we may also consider Junior candidates in the range of $80,000 - $110,000                \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact 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, Design, Consulting, Cloud, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $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\nBoulder, Colorado, United States

\nWe are seeking Data Engineers with a passion for sports to develop cloud-based data pipelines and automated data processing for our world-class sports intelligence platforms in baseball, basketball, cricket, eSports, football (American), golf, hockey, soccer, and tennis. Through your work, you can support the professional teams in our exclusive partner network in their efforts to compete and win championships. \n\nZelus Analytics is a fully remote company working directly with teams across the NBA, MLB, NFL, IPL and NHL, in addition to a number of soccer teams around the globe. Zelus unites a fast-growing startup environment with a research-focused culture that embraces our core values of integrity, innovation, and inclusion. We pride ourselves on providing meaningful mentorship that offers our team the opportunity to develop and expand their skill sets while also engaging with the broader analytics community. In so doing, we hope to create a new path for a broader group of highly talented people to push the cutting edge of sports analytics.\n\nWe believe that a diverse team is vital to building the world’s best sports intelligence platform. Thus, we strongly encourage you to apply if you identify with any marginalized community across race, ethnicity, gender, sexual orientation, veteran status, or disability. At Zelus, we are committed to creating an inclusive environment where all of our employees are enabled and empowered to succeed and thrive.\n\nAs Zelus employees advance in experience and level, they are expected to build on their competencies and expertise and demonstrate increasing impact, independence, and leadership within their roles.\n\nMore specifically, as a Zelus Data Engineer, you will be expected to:\n\n\n* Design, develop, document, and maintain the schemas and ETL pipelines for our internal sports databases and data warehouses\n\n* Implement and test collection, mapping, and storage procedures for secure access to team, league, and third-party data sources\n\n* Develop algorithms for quality assurance and imputation to prepare data for exploratory analysis and quantitative modeling\n\n* Profile and optimize automated data processing tasks\n\n* Coordinate with data providers around planned changes to raw data feeds\n\n* Deploy and maintain system and database monitoring tools\n\n* Collaborate and communicate effectively in a distributed work environment\n\n* Fulfill other related duties and responsibilities, including rotating platform support\n\n\n\n\nAdditionally, a Data Engineer II will be expected to:\n\n\n* Create data ingestion and integration workflows that scale and can be easily adapted to future use cases\n\n* Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to execute data engineering workflows\n\n\n\n\nAdditionally, a Senior Data Engineer will be expected to:\n\n\n* Research, design, and test generalizable software architectures for data ingestion, processing, and integration and guide organizational adoption\n\n* Collaborate with data science to design and implement vendor-agnostic data models that support downstream modeling efforts\n\n* Lead team-wide implementation of data engineering standards\n\n* Effectively communicate complex technical concepts to both internal and external audiences\n\n* Provide guidance and technical mentorship for junior engineers \n\n* Assist with recruiting and outreach for the engineering team, including building a diverse network of future candidates\n\n\n\n\nAdditionally, a Senior Data Engineer II will be expected to:\n\n\n* Identify and implement generalizable strategies for infrastructure maintenance and data-related cost savings\n\n* Break down complex data engineering projects into actionable work plans including proposed task assignments with clear design specifications\n\n* Assist in defining data engineering standards for the organization\n\n\n\n\nA qualified Data Engineer candidate will be able to demonstrate several of the following and will be excited to learn the rest through the mentorship provided at Zelus:\n\n\n* Academic and/or industry experience in back-end software design and development\n\n* Experience with ETL architecture and development in a cloud-based environment\n\n* Fluency in SQL development and an understanding of database and data warehousing technologies\n\n* Proficiency with Python (preferred), Scala, and/or other data-oriented programming languages\n\n* Experience with automated data quality validation across large data sets\n\n* Familiarity working with Linux servers in a virtualized/distributed environment\n\n* Strong software-engineering and problem-solving skills\n\n\n\n\nA qualified Senior Data Engineer candidate will be able to demonstrate all of the above at a higher level of competency plus the following:\n\n\n* Expertise developing complex databases and data warehouses for large-scale, cloud-based analytics systems\n\n* Experience with task orchestration and workflow automation tools\n\n* Experience building and overseeing team-wide data quality initiatives\n\n* Experience adapting, retraining, and retooling in a rapidly changing technology environment\n\n* Desire and ability to successfully mentor junior engineers\n\n\n\n\nStarting salaries range from*:\n\n\n* $87,000 to $102,000 for Data Engineer\n\n* $102,000 to $118,000 for Data Engineer II\n\n* $118,000 to $136,000 for Senior Data Engineer\n\n* $136,000 to $160,000 for Senior Data Engineer II\n\n\n\n\n*Compensation paid in non-US currency will be in a comparable range adjusted by differences in total cost of employment.\n\nZelus has a fully distributed workforce, spanning multiple states and countries, with a formal process for establishing compensation equity across its global staff. In addition to competitive salaries, our full-time compensation packages include equity grants and comprehensive benefits, such as an annual incentive bonus plan, supplemental health, vision, and dental insurance, and flexible PTO, all of which allow us to attract and retain a world-class team.\n\nAs an equal opportunity employer, Zelus does not discriminate on the basis of race, ethnicity, color, religion, creed, gender, gender expression or identification, sexual orientation, marital status, age, national origin, disability, genetic information, military status, or any other characteristic protected by law. It is our policy to provide reasonable accommodations for applicants and employees with disabilities. Please let us know if reasonable accommodation is needed to participate in the job application or interview process.\n\nIn most jurisdictions, Zelus is an at-will employer; employment at Zelus is for an indefinite period of time and is subject to termination by the employer or the employee at any time, with or without cause or notice. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Senior, Engineer and Linux jobs that are similar:\n\n $60,000 — $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

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, NoSQL, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $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