{"schemaVersion":"jobsearcher.job.v1","id":"c5cbbf24345ae365178bec0c","url":"https://jobsearcher.com/jobs/c5cbbf24345ae365178bec0c","canonicalUrl":"https://jobsearcher.com/jobs/c5cbbf24345ae365178bec0c","title":"Senior Data Analytics Engineer","description":"Location\nRemote - US\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nTechnology\nCompensation\nOn target earnings (DOE) $100K – $140K\nThe posted range represents the typical compensation range for this role. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, location, abilities of the applicant, equity with other team members, and alignment with market data. Additional benefits are shared as part of the job posting.\n\nPropelus® simplifies workforce compliance management across healthcare. Our innovative technology and strategic partnerships empower millions of professionals, their employers, and regulators to work together, creating a connected and efficient healthcare ecosystem.\nAs a trusted leader for over 20 years, Propelus has focused on bringing more good into the lives of the people and organizations serving healthcare. We deliver seamless compliance solutions to millions. We leverage market-leading technology and essential data to simplify complex operations, reduce risk, and champion a safer, healthier, and happier workforce.\nJob Summary: As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on assigned projects, collaborating with data scientists, product managers, and engineers to build, maintain, and improve our data infrastructure and analytics pipelines. Your work will contribute directly to the efficiency and effectiveness of our compliance management technology, enabling us to better serve our clients and drive innovation. You will contribute to the delivery of key datasets and reports, ensuring data quality and accessibility.\nKey Responsibilities include, but are not limited to:\nDevelop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.\nDesign, build, and optimize data models to support analytical needs and reporting requirements.\nCollaborate with data scientists to implement and deploy machine learning models and analytical solutions.\nMonitor data quality and identify and resolve data integrity issues.\nContribute to the development of data documentation and metadata management practices.\nWork with stakeholders to understand their data needs and translate them into technical requirements.\nAssist in the evaluation and implementation of new data technologies and tools.\nParticipate in code reviews and contribute to the development of coding standards and best practices.\nIndependently manage assigned tasks and projects, ensuring timely delivery and quality results.\nProactively identify opportunities to improve data processes and systems.\nQualifications & Desired Skills:\nBachelor's degree in Computer Science, Data Science, Statistics, or a related field.\n4+ years of experience in data engineering, analytics engineering, or a similar role.\nProficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).\nFamiliarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related data warehousing services (e.g., Snowflake, Redshift, BigQuery).\nFamiliarity with data testing frameworks.\nExperience with ETL tools and techniques (e.g., Apache Airflow, dbt).\nSolid understanding of data modeling principles and data warehouse architecture.\nStrong analytical and problem-solving skills.\nExperience with at least one programming language (e.g., Python, Java).\nGood communication and collaboration skills.\nProficiency in using Git for version control and collaboration on codebase.\nBenefits and Perks for Propelus employees include but are not limited to:\nAwarded one of BuiltIn's 2025 Best Places to Work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For Great Employers.\nProfessional development allowance to help you grow in the ways that mean the most to you.\nFlexibility for balancing work with the rest of life and ample PTO, including paid time off for volunteering, your birthday, and becoming a new parent.\n\nFor US Employees:\n401K with company matching, as well as financial planning education and resources.\nEmployees can choose from HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents.\nLifestyle Spending Account (LSA): We support personal well-being by offering an annual lifestyle spending account that you can use for what matters most to you—whether it’s a gym membership, a meditation app, WFH equipment, or fresh produce delivered to your door.\nFor LATAM Employees:\nYour health is our top priority! We cover 100% of your health insurance premiums. Our plans include national and international coverage, so you're protected no matter where you are.\nPropelus Flex Club: Our flexible benefits platform gives you monthly points to redeem on what you need most. Plus, you'll get access to exclusive discounts just for being part of our team.\nWe've got you covered with a life insurance policy, paid 100% by the company. You can also add your beneficiaries at an exclusive, discounted rate.\nWe are an equal opportunity employer and value diversity at Propelus. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Candidates from all backgrounds are encouraged to apply.\nFull-time positions are scheduled to work 40 hours per week, M-F unless required otherwise by projects. Part-time positions are scheduled to work a maximum of 30 hours per week. Equipment, benefits, and perks are not provided to part-time or temporary employees.\nCompensation Range: $100K - $140K","company":"Propelus1","rawCompany":"propelus1","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T17:20:52.985Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Analytics Engineer","description":"Location\nRemote - US\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nTechnology\nCompensation\nOn target earnings (DOE) $100K – $140K\nThe posted range represents the typical compensation range for this role. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, location, abilities of the applicant, equity with other team members, and alignment with market data. Additional benefits are shared as part of the job posting.\n\nPropelus® simplifies workforce compliance management across healthcare. Our innovative technology and strategic partnerships empower millions of professionals, their employers, and regulators to work together, creating a connected and efficient healthcare ecosystem.\nAs a trusted leader for over 20 years, Propelus has focused on bringing more good into the lives of the people and organizations serving healthcare. We deliver seamless compliance solutions to millions. We leverage market-leading technology and essential data to simplify complex operations, reduce risk, and champion a safer, healthier, and happier workforce.\nJob Summary: As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on assigned projects, collaborating with data scientists, product managers, and engineers to build, maintain, and improve our data infrastructure and analytics pipelines. Your work will contribute directly to the efficiency and effectiveness of our compliance management technology, enabling us to better serve our clients and drive innovation. You will contribute to the delivery of key datasets and reports, ensuring data quality and accessibility.\nKey Responsibilities include, but are not limited to:\nDevelop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.\nDesign, build, and optimize data models to support analytical needs and reporting requirements.\nCollaborate with data scientists to implement and deploy machine learning models and analytical solutions.\nMonitor data quality and identify and resolve data integrity issues.\nContribute to the development of data documentation and metadata management practices.\nWork with stakeholders to understand their data needs and translate them into technical requirements.\nAssist in the evaluation and implementation of new data technologies and tools.\nParticipate in code reviews and contribute to the development of coding standards and best practices.\nIndependently manage assigned tasks and projects, ensuring timely delivery and quality results.\nProactively identify opportunities to improve data processes and systems.\nQualifications & Desired Skills:\nBachelor's degree in Computer Science, Data Science, Statistics, or a related field.\n4+ years of experience in data engineering, analytics engineering, or a similar role.\nProficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).\nFamiliarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related data warehousing services (e.g., Snowflake, Redshift, BigQuery).\nFamiliarity with data testing frameworks.\nExperience with ETL tools and techniques (e.g., Apache Airflow, dbt).\nSolid understanding of data modeling principles and data warehouse architecture.\nStrong analytical and problem-solving skills.\nExperience with at least one programming language (e.g., Python, Java).\nGood communication and collaboration skills.\nProficiency in using Git for version control and collaboration on codebase.\nBenefits and Perks for Propelus employees include but are not limited to:\nAwarded one of BuiltIn's 2025 Best Places to Work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For Great Employers.\nProfessional development allowance to help you grow in the ways that mean the most to you.\nFlexibility for balancing work with the rest of life and ample PTO, including paid time off for volunteering, your birthday, and becoming a new parent.\n\nFor US Employees:\n401K with company matching, as well as financial planning education and resources.\nEmployees can choose from HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents.\nLifestyle Spending Account (LSA): We support personal well-being by offering an annual lifestyle spending account that you can use for what matters most to you—whether it’s a gym membership, a meditation app, WFH equipment, or fresh produce delivered to your door.\nFor LATAM Employees:\nYour health is our top priority! We cover 100% of your health insurance premiums. Our plans include national and international coverage, so you're protected no matter where you are.\nPropelus Flex Club: Our flexible benefits platform gives you monthly points to redeem on what you need most. Plus, you'll get access to exclusive discounts just for being part of our team.\nWe've got you covered with a life insurance policy, paid 100% by the company. You can also add your beneficiaries at an exclusive, discounted rate.\nWe are an equal opportunity employer and value diversity at Propelus. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Candidates from all backgrounds are encouraged to apply.\nFull-time positions are scheduled to work 40 hours per week, M-F unless required otherwise by projects. Part-time positions are scheduled to work a maximum of 30 hours per week. Equipment, benefits, and perks are not provided to part-time or temporary employees.\nCompensation Range: $100K - $140K","datePosted":"2026-08-04T17:20:52.985Z","dateModified":"2026-08-04T17:20:52.985Z","hiringOrganization":{"@type":"Organization","name":"Propelus1","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c5cbbf24345ae365178bec0c"},"url":"https://jobsearcher.com/jobs/c5cbbf24345ae365178bec0c"}}