\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

**Job Description**\n\n\n\nAnalytics Fire builds custom software for the solar power industry. We’re looking for a senior embedded developer with deep experience developing, testing, and debugging embedded software in a Linux environment to help us expand our services to support manufacturers in additional new high-tech sectors.\n\nAnalytics Fire is a small, distributed team working on a range of interesting projects. For example, we recently helped build a custom IoT platform for utility grade solar power plants, sales software for residential solar systems, and a machine-learning powered autonomous cleaning robot. We’re looking for a fun, reliable, and highly collaborative, senior developer to join our team.\n\nThis is a remote position. We’re flexible about location and hours, so long as your working hours are within a European or US-overlapping time zone. We’re a really great match for a senior developer who wants to work hard on interesting projects, while simultaneously having flexibility around time and geography.\n\n\n\n**Skills & Requirements**\n\n\n\nIdeally, you should have 5+ years developing, testing, and debugging embedded software in a Linux environment. You should be comfortable autonomously driving your own high quality / high velocity contributions using a range of technologies.\n\nRequired skills:\n\n- Expert level experience developing, testing and debugging embedded software in a Linux environment\n- Development experience using Python, C, and C++\n- Basic hardware experience (cabling, basic troubleshooting)\n- Basic understanding of web technology\n- Strong verbal and written communication skills\n\nNice to have:\n\n- Expert-level network systems experience using connman, BTLE, and dbus\n- Expert-level experience with wireless protocols (eg zigbee, cellular modem, etc)\n- Intermediate or expert level security engineering experience with current knowledge of security best practices, common exploits, and threat landscape\n- Previous experience creating custom Linux-based systems using Yocto\n\nAnalytics Fire has a very polyglot technical culture. Our ideal candidate has expert-level skills in the above categories, but also have a secondary skill set in one of the following areas:\n\n- Full stack software engineering with React, Angular\n- Scientific computing with C++ and/or Python\n- Computer vision / machine learning (PhD-level)\n- DevOps automation\n\n\n\n**About Analytics Fire**\n\n\n\nAnalytics Fire was founded by a couple of engineering nerds -- one a PHd in machine learning and the other a former VP of Engineering for an analytics platform -- who both are also serial entrepreneurs backed by prominent angels and VCs including Y Combinator and 500 Startups.\n\n“Our goal founding Analytics Fire, was to create the engineering department that we always dreamed of working for. For us this meant being able to spend our time working on the hardest and most interesting technical problems that we could find, being part of a small, tightly-knit team of world-class engineers, while simultaneously having flexibility around time and geography.” \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Senior, Linux, Developer, Digital Nomad, DevOps, Stats and Sales jobs that are similar:\n\n $65,000 — $125,000/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

Full Time: Senior Embedded Linux Developer with C/Python -- 100% Remote, Flexible hours at Analytics Fire in Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to C, C Plus Plus, Python, Senior, Linux, Developer, Digital Nomad and Stats jobs that are similar:\n\n $75,000 — $125,000/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

\nAnalytics Fire builds custom software for the solar power industry. We’re looking for a senior embedded developer with deep experience developing, testing, and debugging embedded software in a Linux environment to help us expand our services to support manufacturers in additional new high-tech sectors.\n\nAnalytics Fire is a small, distributed team working on a range of interesting projects. For example, last year we helped build a custom IoT platform for utility grade solar power plants, sales software for residential solar systems, and a machine-learning powered autonomous cleaning robot. We’re looking for a fun, reliable, and highly collaborative, senior developer to join our team.\n\nThis is a remote position. We’re flexible about location and hours, so long as your working hours are within a European or US-overlapping time zone. We’re a really great match for a senior developer who wants to work hard on interesting projects, while simultaneously having flexibility around time and geography.\n\nSkills & Requirements\n\nIdeally, you should have 5+ years developing, testing, and debugging embedded software in a Linux environment. You should be comfortable autonomously driving your own high quality / high velocity contributions using a range of technologies.\n\nRequired skills:\n\n\n* Expert level experience developing, testing and debugging embedded software in a Linux environment\n\n* Development experience using Python, C, and C++\n\n* Expert-level network systems experience using connman, BTLE, and dbus\n\n* Basic hardware experience (cabling, basic troubleshooting)\n\n* 5+ years Linux administration experience; Expert-level Linux scripting skills\n\n* Basic understanding of web technology\n\n* Strong verbal and written communication skills\n\n\n\n\nNice to have:\n\n\n* Previous experience creating custom Linux-based systems using Yocto\n\n\n\n\nAnalytics Fire has a very polyglot technical culture. Our ideal candidate has expert-level skills in the above categories, but also have a secondary skill set in one of the following areas:\n\n\n* DevOps automation\n\n* Full stack software engineering (React, Angular)\n\n* Scientific computing with C++ and Python\n\n* Computer vision / machine learning (PhD-level)\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 C, C Plus Plus, Python, Senior, Linux, Developer, Digital Nomad, Stats and Sales jobs that are similar:\n\n $70,000 — $120,000/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