Guidehouse

Data Engineering & Architecture Consulting

DataEngineer

$85–141k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Data Engineering & Architecture Consulting
Problems you'll solve

analytical skills; troubleshooting skills

Eligibility Requirements

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

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