Guidehouse
Data Engineering & Architecture Consulting
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Guidehouse. Skills: Databricks, Palantir Foundry, Data Pipelines, Python. Design data pipelines. Develop data pipelines”
What You'll Achieve.
Enable authoritative, decision-grade financial and operational insights; Support financial reporting; Support PPBE workflows; Support auditability; Support mission analytics; Enable traceability; Enable lineage; Enable repeatable analytics workflows; Ensure data pipelines conform to DoD financial data standards; Ensure data pipelines conform to business rules; Ensure data pipelines conform to controls; Support financial accuracy; Support audit readiness; Support confidence in reported metrics; Ensure high availability; Ensure reliability in mission-critical systems; Support compliance; Support knowledge transfer; Support platform accreditation
Industry & Context.
analytical skills; troubleshooting skills
US Citizenship, Active Secret clearance, Ability to meet client security requirements, Travel up to 25%, Containerization where approved
What They're Looking For.
Must Have
US Citizenship, ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance, Bachelor's degree, Minimum FIVE (5) years of experience in data engineering, analytics engineering, or software development, proficiency in Python, SQL, PySpark, and Spark-based data processing, Experience working with relational and analytical data stores, Familiarity with Git-based version control, CI/CD concepts, and Agile delivery methodologies in secure environments, Experience handling federal financial data, Ability to operate independently in a fast-paced, mission-focused environment, analytical, troubleshooting, and communication skills
Nice to Have
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, 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
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Develop Foundry pipelines
Maintain Foundry pipelines
Deploy Foundry pipelines
Manage CI/CD workflows
Build cloud-native solutions
Deploy cloud-native solutions
Implement data quality capabilities
Implement data reconciliation
Implement data validation
Implement data monitoring
Support data integration
Support data modernization
Support data migration
Onboard legacy systems
Resolve pipeline issues
Resolve performance issues
Resolve data integrity issues
Document engineering designs
Document operational procedures
Stay current on best practices
How You'll Work.
Team & Collaboration
Partner with functional SMEs; Partner with financial analysts; Partner with platform engineers; Partner with governance teams
Communication Scope
Translate complex technical concepts
Process & Methodology
Agile delivery methodologies
Full Job Description
**_Job Family_ :** Data Engineering & Architecture Consulting ** _Travel Required_ :** Up to 25% **_Clearance Required_ :** Active Secret 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. _**What You Will Do:**_ * 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, an
Applying for this Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Guidehouse?
Real rants from real employees. Read before you apply.