Health Data Engineering Lead
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 28, 2026. Guidehouse scores B on the Alion truth index.
Job Family:
Data Engineering & Architecture ConsultingTravel Required:
Up to 25%Clearance Required:
Ability to Obtain Public TrustWhat You Will Do:
- 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 workstreams 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 Will Need:
- Bachelor’s degree (Relevant experience may be substituted for formal education or advanced degree)
- Minimum of FIVE (5) years of experience, preferably within healthcare or the public sector.
- 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 Would Be Nice To Have:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field, or equivalent relevant experience.
- Previous experience supporting Centers for Medicare & Medicaid Services (CMS) programs, systems, or data.
- 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 state government health programs, including Medicaid, State-based Exchanges (SBE), 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.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
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