Lead Analytics Engineer - Data Modeling & Quality
New
Remote (USA)Full-TimeLead
Salary160,000 - 185,000 USD per year
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Job Details
- Required Skills
- SQLGitSparkData modelingdbt
Requirements
- Bachelor's or Master's degree in CS, Statistics, Business, Economics, or related.
- Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning.
- Hands-on dbt experience: models, tests, macros, yml documentation, incremental strategies.
- Healthcare data literacy: working knowledge of claims, EHR, and quality dimensions.
- Data quality mindset: ability to differentiate source issues from transform issues.
- Ability to manage several projects simultaneously.
- Strong communication skills for technical and non-technical stakeholders.
- Strong analytical judgment.
- Experience with Spark SQL and Hudi (preferred).
- Familiarity with data quality monitoring tools (preferred).
- Experience with Python for data investigation and automation (preferred).
- Experience with Argo Workflows or similar (preferred).
Responsibilities
- Author, review, and maintain dbt models using Spark/Hudi from ingest through bronze and silver.
- Help clients understand their data model, assumptions, and limitations through intentional validation.
- Troubleshoot, fix issues, and write dbt tests for proactive issue detection.
- Optimize SQL performance for slow-running jobs.
- Partner with Data Engineering on Hudi table design and partition strategy.
- Triage and classify data quality alerts and maintain DQ monitors.
- Author and apply clinical and claims validation DQ rules.
- Conduct quality reviews for connector promotions (UAT to PRD).
- Coordinate with the Measure Implementation Team on quality measure scores.
- Enforce data modeling standards across teams.
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