{"schemaVersion":"jobsearcher.job.v1","id":"491cdc30039b1fdc4d353fa6","url":"https://jobsearcher.com/jobs/491cdc30039b1fdc4d353fa6","canonicalUrl":"https://jobsearcher.com/jobs/491cdc30039b1fdc4d353fa6","title":"Senior Data Engineer","description":"Location\nRemote - US\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nTechnology\nCompensation\nUSOn 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: The Data Engineer plays a crucial role in building and maintaining the data infrastructure that supports our data strategy. This role focuses on contributing to the development of data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights. Working independently on assigned tasks and projects, the Data Engineer contributes to the overall effectiveness of the data department and supports the company's objective of leveraging data for continuous improvement and innovation.\nKey Responsibilities include, but are not limited to:\nParticipate in the design, development, and maintenance of data pipelines using ETL/ELT processes to ingest, transform, and load data from various sources into the data warehouse.\nImplement and maintain data quality checks and validation processes to ensure data accuracy and reliability.\nCollaborate with data scientists and analysts to understand their data requirements and provide solutions to meet their analytical needs.\nContribute to the development and maintenance of data models, schemas, and dictionaries to ensure data consistency and usability.\nMonitor data pipeline performance and troubleshoot data-related issues in a timely manner.\nAssist in the evaluation and implementation of new data technologies and tools.\nDevelop and maintain documentation for data pipelines, processes, and data models.\nContribute to the development of data governance policies and procedures.\nParticipate in code reviews and knowledge sharing sessions with other data engineers.\nSupport the migration of existing data pipelines to more scalable and efficient solutions.\nQualifications & Desired Skills:\nBachelor's degree in Computer Science, Data Science, or a related field.\n4+ years of experience in data engineering or a similar role.\nProficiency in at least one programming language such as Python or Java.\nUnderstanding of data warehousing concepts, modeling and methodologies.\nProficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).\nExperience with optimizing complex queries.\nStrong proficiency in using Git for version control and collaboration on codebase.\nExperience with NoSQL databases (e.g., MongoDB).\nFamiliarity with cloud-based data platforms (e.g., AWS, Azure, GCP).\nExperience with ETL/ELT tools such as Apache Airflow or similar.\nAbility to work collaboratively with teams across data science, business intelligence, and software engineering to deliver high-quality data solutions.\nSolid understanding of the importance of data validation and the basics of ensuring data quality (e.g., checking for duplicates, missing values, or incorrect data formats).\nBasic knowledge of data modeling techniques.\nStrong analytical and problem-solving skills.\nExcellent communication skills.\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":"2026-08-03T13:32:06.358Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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 Engineer","description":"Location\nRemote - US\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nTechnology\nCompensation\nUSOn 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: The Data Engineer plays a crucial role in building and maintaining the data infrastructure that supports our data strategy. This role focuses on contributing to the development of data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights. Working independently on assigned tasks and projects, the Data Engineer contributes to the overall effectiveness of the data department and supports the company's objective of leveraging data for continuous improvement and innovation.\nKey Responsibilities include, but are not limited to:\nParticipate in the design, development, and maintenance of data pipelines using ETL/ELT processes to ingest, transform, and load data from various sources into the data warehouse.\nImplement and maintain data quality checks and validation processes to ensure data accuracy and reliability.\nCollaborate with data scientists and analysts to understand their data requirements and provide solutions to meet their analytical needs.\nContribute to the development and maintenance of data models, schemas, and dictionaries to ensure data consistency and usability.\nMonitor data pipeline performance and troubleshoot data-related issues in a timely manner.\nAssist in the evaluation and implementation of new data technologies and tools.\nDevelop and maintain documentation for data pipelines, processes, and data models.\nContribute to the development of data governance policies and procedures.\nParticipate in code reviews and knowledge sharing sessions with other data engineers.\nSupport the migration of existing data pipelines to more scalable and efficient solutions.\nQualifications & Desired Skills:\nBachelor's degree in Computer Science, Data Science, or a related field.\n4+ years of experience in data engineering or a similar role.\nProficiency in at least one programming language such as Python or Java.\nUnderstanding of data warehousing concepts, modeling and methodologies.\nProficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).\nExperience with optimizing complex queries.\nStrong proficiency in using Git for version control and collaboration on codebase.\nExperience with NoSQL databases (e.g., MongoDB).\nFamiliarity with cloud-based data platforms (e.g., AWS, Azure, GCP).\nExperience with ETL/ELT tools such as Apache Airflow or similar.\nAbility to work collaboratively with teams across data science, business intelligence, and software engineering to deliver high-quality data solutions.\nSolid understanding of the importance of data validation and the basics of ensuring data quality (e.g., checking for duplicates, missing values, or incorrect data formats).\nBasic knowledge of data modeling techniques.\nStrong analytical and problem-solving skills.\nExcellent communication skills.\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":"2026-08-03T13:32:06.358Z","dateModified":"2026-08-03T13:32:06.358Z","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":"491cdc30039b1fdc4d353fa6"},"url":"https://jobsearcher.com/jobs/491cdc30039b1fdc4d353fa6"}}