Health Data Engineering Lead

Guidehouse; United States; Remote; USD 130,000 - 216,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave and Adoption Assistance

Flexible Spending Accounts

Mobility Stipend

Employee Referral Program

Job summary

Guidehouse is seeking a data engineering and analytics leader to drive technical delivery for healthcare data initiatives in the United States. You will supervise data engineers and analysts, translate business requirements into technical solutions, and oversee data ingestion, mapping, transformation, and quality assurance across multiple sources.

You will design scalable data pipelines using Databricks, Python, and SQL, manage risks and timelines, and communicate complex technical concepts to

Qualifications

• Bachelor’s degree; relevant experience may substitute
• Minimum of five (5) years of experience, preferably within healthcare or the public sector
• Experience with large, complex datasets and translating business requirements into technical solutions
• Excellent written and verbal communication skills, including client interaction
• Strong problem-solving skills and ability to lead teams through complex issues
• Ability to manage multiple priorities, deadlines, and stakeholders in a fast-paced environment
• Experience with healthcare data, health IT, or healthcare analytics

Responsibilities

• Lead technical delivery for complex healthcare data and analytics initiatives.
• Direct data engineers, analysts, and technical team members.
• Manage workplans, priorities, risks, and deliverables to keep workstreams on schedule.
• Translate business requirements and data needs into actionable technical requirements.
• Ingest, map, transform, validate, and integrate complex healthcare data from multiple sources.
• Design scalable data pipelines and analytics using Databricks, Python, SQL.

Skills

Databricks

Python

SQL

Data pipelines

Data quality

Stakeholder management

Leadership

Healthcare data

Education

Bachelor’s degree

Tools

Databricks

Python

SQL

Job description

Job Family: Data Engineering & Architecture Consulting

Travel Required: Up to 25%

Clearance Required: Ability to Obtain Public Trust

What 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, preferable 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.

The annual salary range for this position is $130,000.00-$216,000.00.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

• 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 [e-mail].

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail].

Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.

Guidehouse is a global AI‑led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors.

With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets.

Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future.

guidehouse.com