Databricks Data Engineer SME - Clearance Required

Overview

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

LMI is seeking a skilled Databricks Data Engineer SME (DHA RevOS / Databricks, War Data Platform & Data Visualization) to serve as a senior technical lead responsible for designing, restructuring, and implementing the data foundation required for the Defense Health Agency (DHA) Revenue Cycle Operating System (RevOS).

This role will work directly within a Databricks-based War Data Platform (WDP) environment to assess existing DHA revenue-cycle data structures, identify architectural and data-quality deficiencies, and redesign those structures into a scalable, governed, and reusable revenue-cycle data model.

The primary objective is to establish a connected data architecture representing the actual healthcare revenue-cycle workflow:

Scheduling → Eligibility → Registration → Authorization → Patient Care → Documentation → Coding → Charge Capture → Claim → Adjudication → Payment → Denial → Follow-Up → Recovery

The Senior Data Engineer SME will ensure DHA's existing data is reorganized around this workflow so individual encounters, charges, codes, claims, payments, denials, and recovery activities can be connected and traced through the entire revenue lifecycle.

The individual will also be responsible for ensuring the resulting Databricks data architecture directly supports production dashboards, operational visualizations, RevOS SITREP views, KPI reporting, and drill-down analysis .

In addition, this candidate will have demonstrated experience in collaborating with other data engineers and data scientists, and effective communication with clients.
Responsibilities
- Lead the technical design and implementation of the RevOS data architecture within Databricks and the DHA War Data Platform .

- Assess and remediate DHA's existing revenue-cycle data structures, including fragmented schemas, duplicate entities, inconsistent definitions, missing relationships, weak keys, data-quality issues, reconciliation problems, and structures that do not align to the operational workflow.

- Develop a target-state canonical revenue-cycle data model connecting beneficiary/patient, encounter, appointment, eligibility, authorization, provider, MTF, documentation, diagnosis, procedure, coding, charge, claim, claim line, payer, adjudication, remittance, payment, adjustment, denial, AR, appeal, follow-up, and recovery opportunity.

- Design and implement the Databricks Bronze → Silver → Gold architecture for RevOS.

- Design Gold data products and analytical data marts specifically optimized to support Databricks dashboards and visualization workloads .

- Develop and maintain Databricks SQL dashboards, AI/BI dashboards, and native visualization capabilities supporting operational, financial, revenue-recovery, and executive users.

- Build reusable semantic datasets and optimized SQL structures that allow dashboards to consistently calculate RevOS KPIs across enterprise, DHN, MTF, department, provider, encounter, and claim levels.

- Ensure dashboard queries and Gold datasets are optimized for performance, refresh cadence, scalability, and concurrent users.

- Configure dashboard-level access consistent with Unity Catalog permissions, row-level security, column-