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Staff Analytics Engineer, Databricks (R5493)
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Senior Data & Analytics Engineer, Domain Enablement
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Responsibilities:
- Develop advanced analytics using Python, SQL, and Spark within Databricks to support the DHA RevOS initiative.
- Create Databricks SQL and AI/BI dashboards providing operational and executive visibility into revenue-cycle performance.
- Build predictive models and detection logic for revenue leakage, coding errors, denied claims, and underpayments.
Qualifications:
- 8+ years of experience in data science or advanced analytics with strong Databricks proficiency.
- Advanced skills in Python and SQL, with experience in PySpark and distributed computing.
- Demonstrated ability to design dashboards and develop KPIs that reconcile to authoritative data sources.
Preferred Experience:
- Prior work with Advana or DoD Databricks environments, including Databricks Unity Catalog and MLflow.
- Healthcare revenue-cycle experience, including coding, claims, denials, and payer transactions.
- Familiarity with federal financial management, audit remediation, or explainable AI in regulated environments.
LMI
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.