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Health Data Engineering Lead

Job in Washington, District of Columbia, 20022, USA
Listing for: The Judge Group
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Health Data Engineering Lead (1156617)

Location: Remote, null, USA

Salary: $ USD Annually - $ USD Annually

Description

Company:
Top-tier Fed Gov consulting firm

Position:
Health Data Engineering Lead

4 year federal gov contract

Citizen & GC only

Benefits:
Healthcare, dental, 401k etc

Job Description
  • Lead technical delivery for complex healthcare data and analytics initiatives, providing day-to-day direction to data engineers, analysts, and other technical team members.
  • Manage technical workplans, priorities, dependencies, risks, and deliverables to keep work streams on schedule and aligned with project objectives.
  • Serve as a bridge between business and technical teams, translating business requirements and data needs into actionable technical requirements and solutions.
  • Lead the ingestion, mapping, transformation, validation, and integration of complex healthcare data, including claims, eligibility, enrollment, payment, and other administrative data, from multiple sources.
  • Guide the design and development of scalable data pipelines and analytics solutions using Databricks, Python, SQL, and modern data engineering practices.
  • Work directly with client and external stakeholders to understand data structures, business rules, data-quality issues, and technical constraints and drive issues through resolution.
  • Oversee data validation and quality-control processes to assess completeness, accuracy, consistency, and readiness for downstream analytics.
  • Lead technical requirements and solutioning discussions and communicate technical approaches, risks, issues, and recommendations clearly to technical and non-technical audiences.
  • Provide hands-on troubleshooting and technical guidance when needed while maintaining ownership of overall team delivery.
  • Identify opportunities to improve data engineering processes, automation, maintainability, and scalability.
What You Need
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field, or equivalent relevant experience.
  • 7+ years of experience delivering data, analytics, technology, or related technical solutions, preferably within healthcare or the public sector.
  • 3+ years of experience leading technical teams or technical delivery, including responsibility for work planning, delivery management, issue resolution, and coordination across multiple stakeholders.
  • Demonstrated technical project management experience delivering complex data, analytics, or technology initiatives.
  • Strong experience with data engineering, including data ingestion, ETL/ELT, transformation, data mapping, data validation, and data quality.
  • Hands‑on experience with Databricks, Python, and SQL, or demonstrated experience leading teams delivering solutions using these technologies.
  • Experience working with large, complex datasets and translating business requirements into technical solutions.
  • Excellent written and verbal communication skills, including experience working directly with clients and communicating complex technical concepts to non‑technical audiences.
  • Strong problem‑solving skills and demonstrated ability to lead teams through complex technical and data issues.
  • Ability to manage multiple priorities, stakeholders, dependencies, and deadlines in a fast‑paced environment.
  • Experience working with healthcare data, health IT, or healthcare analytics.
What Is Nice To Have
  • Previous experience supporting Centers for Medicare & Medicaid Services (CMS) programs, systems, or data.
  • Experience working with state government health programs, including Medicaid, State-based Exchanges, or other health and human services programs.
  • Experience with healthcare claims, eligibility, enrollment, payment, or other administrative healthcare data.
  • Experience designing or delivering solutions using Databricks Lakehouse/Medallion architecture, Delta Lake, or comparable cloud data platforms.
  • Experience modernizing legacy data or analytics environments, including migration from SAS or other legacy technologies to Python, SQL, or Databricks.
  • Understanding of data normalization, automated validation, configurable business rules, and data‑quality frameworks.
  • Experience working in Agile delivery environments and coordinating across engineering, analytics, functional, and project management teams.
  • Experience supporting federal technology or data programs with security, privacy, and data‑governance requirements.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.

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