Data Engineer

Guidehouse•Tysons Corner, VA

14h•$85,000 - $141,000

About The Position

Guidehouse seeks a Data Engineer to support the Department of Defense (DoD) by designing, building, and operating data pipelines and analytics solutions on the Advana platform, leveraging Databricks and Palantir Foundry to enable authoritative, decision-grade financial and operational insights. The ideal candidate will have strong hands-on experience engineering scalable data solutions in secure federal cloud environments and working with financial, budgetary, and execution data.

Requirements

US Citizenship is required.
Must have an ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance with the ability to meet all client security and access requirements.
Bachelor’s degree obtained
Minimum FIVE (5) years of experience in data engineering, analytics engineering, or software development, preferably in regulated or federal environments.
Strong proficiency in Python, SQL, PySpark, and Spark-based data processing.
Demonstrated hands-on experience with Databricks, including Delta Lake, notebook development, performance tuning, and production pipelines; experience supporting or integrating with DoD Advana is highly desirable.
Experience building or supporting data solutions using Palantir Foundry, including pipelines, transforms, datasets, and data lineage.
Experience working with relational and analytical data stores (e.g., Databricks, Oracle, Postgres, SQL Server) and applying sound data modeling principles.
Familiarity with Git-based version control, CI/CD concepts, and Agile delivery methodologies in secure environments.
Experience handling federal financial data, including budget, execution, and accounting data, with an understanding of data controls and reconciliation needs.
Ability to operate independently in a fast-paced, mission-focused environment.
Strong analytical, troubleshooting, and communication skills, including the ability to translate complex technical concepts for both technical and non-technical audiences.

Nice To Haves

Bachelor's degree in computer science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Direct experience supporting DoD financial, PPBE, comptroller, or audit-related programs.
Prior experience working directly within the Advana ecosystem or adjacent DoD enterprise analytics platforms.
Advanced Palantir Foundry experience, including operationalizing analytics for large user communities.
Cloud certifications (AWS, Azure, Databricks).
Familiarity with data governance, metadata management, lineage, and access controls in classified or controlled unclassified environments.
Understanding of DoD data, security, and compliance frameworks (e.g., RMF, ATO processes).
Previous consulting experience supporting federal or defense clients.

Responsibilities

Design, develop, and maintain end-to-end data pipelines using Databricks (Spark, PySpark, SQL) to ingest, transform, and curate structured and semi-structured data from authoritative DoD source systems.
Engineer and optimize data models, Delta tables, and curated datasets to support financial reporting, PPBE workflows, auditability, and mission analytics within Advana and downstream Foundry use cases.
Develop, maintain, and deploy Foundry pipelines, transforms, and data products, enabling traceability, lineage, and repeatable analytics workflows for DoD stakeholders.
Implement and manage CI/CD and version-controlled data engineering workflows using Git-based repositories and automated deployment patterns aligned with DoD security and ATO requirements.
Build and deploy cloud-native solutions in secure AWS and Azure environments, supporting IL4/IL5 architectures as applicable, and leveraging containerization where approved.
Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls.
Implement robust data quality, reconciliation, validation, and monitoring capabilities to support financial accuracy, audit readiness, and confidence in reported metrics.
Support data integration, modernization, and migration efforts, including onboarding legacy financial systems and transitioning workloads to Databricks and Foundry within Advana.
Troubleshoot and resolve pipeline, performance, and data integrity issues in production environments, ensuring high availability and reliability in mission-critical systems.
Document data flows, engineering designs, and operational procedures to support compliance, knowledge transfer, and platform accreditation.
Stay current on emerging data engineering, analytics platform, and DevSecOps best practices relevant to DoD enterprise data environments.

Benefits

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