Databricks Data Engineer SME - Clearance Required - LMI

OpenTalent; United States; On-site; USD 130,000 - 190,000; Full time

Job summary

LMI is seeking a Databricks Data Engineer SME to serve as a senior technical lead responsible for designing and implementing the data foundation for the DHA Revenue Cycle Operating System (RevOS). The role focuses on restructuring data within a War Data Platform to create a scalable, governed model that supports dashboards, SITREP views, and KPI reporting.

The ideal candidate has extensive experience in Databricks environments, data-quality remediation, and collaboration with data engineers,

Qualifications

• Experience designing and implementing enterprise data architectures.
• Experience with Databricks platforms and data science collaboration.
• Strong communication with clients and cross-functional teams.

Responsibilities

• Lead the design and implementation of RevOS data architecture within Databricks and the DHA War Data Platform.
• Assess and remediate revenue-cycle data structures to align with operational workflows.
• Ensure the data architecture supports production dashboards, KPI reporting, and drill-down analysis.

Skills

Leadership

Data Architecture

Stakeholder Communication

Tools

Databricks

Job description

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.

• 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.