Data Engineer
Remote · USFull-time$100–120K/yrSeen todaySeen in employer's feed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New remote roles like this one, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
The Data Engineer builds and supports pipelines that move operational and clinical data into warehouses and marts, supporting healthcare analytics, BI, and AI initiatives with a focus on OMOP CDM. The role is full-time and remote, and involves developing with Python and SQL, testing and data-quality work, collaboration with technical and business stakeholders, documentation, project management, and on-call participation.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
We are seeking an experienced Data Engineer to build and support data pipelines that move operational and clinical data into data warehouses and data marts. This role supports healthcare analytics, BI, and AI initiatives, with a focus on the OMOP Common Data Model (CDM). This is a full-time, remote position for someone who can work independently, troubleshoot effectively, and communicate well with technical and business stakeholders.
Key Responsibilities
- Build, maintain, and troubleshoot ETL/data integration pipelines for structured and unstructured data.
- Develop and support OMOP CDM transformations and healthcare data standards.
- Develop solutions using Python and SQL, including tables, views, stored procedures, and functions.
- Perform unit/integration testing, data-quality checks, and root-cause analysis.
- Support data warehouses, reporting solutions, and data pipelines used for analytics and AI.
- Collaborate with analysts, BI developers, customers, vendors, and technical teams.
- Create technical documentation and manage projects with minimal supervision.
- Participate in an on-call rotation.
The base salary range for this position is $100,000 - $120,000 and based on experience.
Skills and Requirements
- Bachelor's degree in Computer Science, Information Systems, mathematics, science, or a related technical discipline.
- Professional data engineering experience, including enterprise data and cloud technologies.
- Hands-on Python and SQL experience.
- Experience building and supporting ETL/data pipelines.
- Understanding of development concepts such as CI/CD, unit testing, REST APIs, and/or publish-subscribe architecture.
- OMOP CDM experience (highly preferred) or healthcare/clinical data experience
- Strong communication, critical-thinking, and problem-solving skills.
- Ability to work independently and interact effectively with customers and project teams.
- Experience with healthcare terminology standards or another common data model.
- Data profiling and data-quality experience.
- Cloud data services, dimensional databases, cubes, or columnar data structures.
- Relevant SQL, Python, AWS, Azure, Snowflake, Epic, Talend, or data management certifications.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
How this job compares
Set against the 6,316 open Data Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$100–120K/yr
- Virginia median$120–195K/yr361 salary ranges
- US median$124–208K/yr4,930 salary ranges
This range's midpoint, $110K, is 29% below the Virginia median midpoint ($156K) — in the lowest quarter of Data Engineer salary ranges in Virginia.
- Openings
- Olive Jobs lists 463 open Data Engineer jobs in Virginia and 6,316 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Virginia
- Deloitte97 open
- Capital One42 open
- Accenture26 open
- Experience
- Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,499 postings).
- Education
- This posting asks for a bachelor's degree; 2,401 of the 6,316 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.
