Data Engineer

Posted Yesterday
Hiring Remotely in USA
Remote
77K-90K Annually
Mid level
Healthtech
The Role
Design, build, and maintain end-to-end data pipelines and ETL/ELT for healthcare data using Snowflake, dbt, Python, and SQL. Ensure data quality, monitor production jobs, troubleshoot anomalies, write dbt models and tests, collaborate with Analytics/Operations/Clinical teams, and participate in Agile processes with GitLab and Jira.
Summary Generated by Built In
Company Description

Privia Health™ is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices, improve patient experiences, and reward doctors for delivering high-value care in both in-person and virtual settings. The Privia Platform is led by top industry talent and exceptional physician leadership, and consists of scalable operations and end-to-end, cloud-based technology that reduces unnecessary healthcare costs, achieves better outcomes, and improves the health of patients and the well-being of providers.

Job Description

We are looking for a Data Engineer to join our Data Engineering team. You will design, build, and maintain the data pipelines and infrastructure that power clinical, financial, and operational reporting across Privia Health. This role works directly with healthcare data (payer attribution files, claims, eligibility, quality measures) and requires someone comfortable owning pipelines end-to-end in a production environment.

You will work primarily in Snowflake, dbt, and Python within an Agile team that ships weekly. We value engineers who write clean SQL, think critically about data quality, and communicate clearly with both technical and non-technical stakeholders.

Primary Job Duties

  • Pipeline Development: Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers.

  • Data Modeling and Transformation: Write and maintain dbt models following established conventions (staging/intermediate/marts pattern). Ensure transformations are testable, documented, and performant.

  • Data Quality: Implement and maintain data validation tests, monitor pipeline health, investigate and resolve data anomalies, and ensure accuracy of downstream reporting.

  • SQL Development: Write complex, optimized SQL for data transformation, analysis, and troubleshooting. This is the primary language of the role.

  • Python Development: Build and maintain Python scripts for file processing, API integrations, custom ETL logic, and automation. Python is a required skill, not optional.

  • Production Operations: Own the health of assigned pipelines in production. Monitor jobs, triage failures, coordinate with payers/vendors on file delivery issues, and maintain runbooks.

  • Collaboration: Work with Analytics, Operations, and Clinical teams to translate business requirements into technical implementations. Communicate status, blockers, and tradeoffs clearly.

  • SDLC Participation: Deliver work within an Agile/Scrum framework using Jira and GitLab. Participate in sprint planning, code review, QA testing, and production releases.

  • Continuous Improvement: Identify opportunities to improve pipeline performance, reduce manual intervention, strengthen testing coverage, and eliminate technical debt.

  • Other duties as assigned.

 

Qualifications

  • 3+ years of experience as a Data Engineer, Analytics Engineer, or equivalent role

  • 3+  years Strong SQL expertise - you can write complex queries, optimize performance, and troubleshoot data issues independently

  • 2+ years Python experience - you can build production-grade scripts for file processing, API calls, and data manipulation

  • 2+ years experience with dbt (data build tool) - writing models, tests, and macros

  • 2+ years experience with Snowflake or equivalent cloud data warehouse (BigQuery, Redshift, Databricks)

  • Understanding of data warehouse design patterns (star schema, slowly changing dimensions, staging/mart layers)

  • Experience with ETL/ELT patterns and batch data processing

  • Familiarity with version control (Git) and CI/CD practices

  • Experience working with raw data sources: flat files (CSV, pipe-delimited), JSON, XML, Parquet

Additional Information

All your information will be kept confidential according to EEO guidelines.

The salary range for this role is $77,000.00 to $90,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs). This role is also eligible for an annual bonus targeted at 15% . The base pay offered will be determined based on relevant factors such as experience, education, and geographic location

Technical Requirements (for remote workers only, not applicable for onsite/in office work):

In order to successfully work remotely, supporting our patients and providers, we require a minimum of 5 MBPS for Download Speed and 3 MBPS for the Upload Speed. This should be acquired prior to the start of your employment. The best measure of your internet speed is to use online speed tests like https://www.speedtest.net/. This gives you an update as to how fast data transfer is with your internet connection and if it meets the minimum speed requirements. Work with your internet provider if you have questions about your connection. Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost.

Privia Health is committed to creating and fostering a work environment that allows and encourages you to bring your whole self to work. We understand that healthcare is local and we are better when our people are a reflection of the communities that we serve. Our goal is to encourage people to pursue all opportunities regardless of their age, color, national origin, physical or mental (dis)ability, race, religion, gender, sex, gender identity and/or expression, marital status, veteran status, or any other characteristic protected by federal, state or local law.  

Skills Required

  • 3+ years experience as a Data Engineer, Analytics Engineer, or equivalent
  • 3+ years strong SQL expertise (complex queries, optimization, troubleshooting)
  • 2+ years Python experience for production-grade scripts, file processing, API calls, ETL
  • 2+ years experience with dbt (models, tests, macros)
  • 2+ years experience with Snowflake or equivalent cloud data warehouse (BigQuery, Redshift, Databricks)
  • Understanding of data warehouse design patterns (star schema, SCDs, staging/mart layers)
  • Experience with ETL/ELT patterns and batch data processing
  • Familiarity with version control (Git) and CI/CD practices
  • Experience working with raw data sources: flat files (CSV, pipe-delimited), JSON, XML, Parquet
  • Ability to own production pipeline operations: monitor jobs, triage failures, maintain runbooks
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The Company
HQ: Arlington, VA

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