Data Engineer (IE / Ops Research)

Guidehouse is a consulting firm focused on data engineering and architecture. They are seeking a Data Engineer to build and maintain data pipelines and governance capabilities within the Palantir platform, while collaborating with various stakeholders to enhance operational efficiency.

Responsibilities:

• Focus on engineering, building, and maintaining data pipelines, applications, workflows, and governance capabilities inside the Palantir platform, particularly Code Repositories, Workshop, Slate, and AIP
• Build and configure data pipelines using Code Repositories and Pipeline Builder
• Build applications and workflows using Workshop and Slate within Palantir
• Develop data pipelines involving collecting, transforming, cleaning, and validating data, using Palantir
• Develop and maintain governance applications that monitor platform performance, compliance, and operational health
• Implement and maintain platform‑driven automations and monitoring capabilities
• Coordinate with non-technical users to gather requirements
• Identify, summarize, and catalog data fidelity issues, and make recommendations to the client on how to resolve or mitigate the issues
• Apply industrial engineering methods (time studies, process mapping, Lean/Six Sigma, constraints analysis) to improve depot and sustainment processes
• Conduct capacity, throughput, and bottleneck analyses for depot maintenance, MRO, supply chain, and production environments to inform investment, resourcing, and modernization decisions
• Integrate data from ERP/MRO/maintenance systems into simulation models to generate actionable insights for forecasting, scheduling, and scenario analysis
• Collaborate with cross‑functional stakeholders (operations, supply chain, engineering, analytics) to design and test “what‑if” scenarios that support strategic planning and infrastructure decisions
• Prepare and deliver clear decision‑support briefings, visualizations, and recommendations for senior leaders regarding depot performance and modernization impacts
• Support adoption of advanced analytics and digital engineering approaches (e.g., predictive modeling, digital twins) to improve depot efficiency and readiness outcomes
• Develop trusted relationships with clients at all levels of the organization to obtain a more complete perspective and understanding of our clients’ mission, challenges, and goals to deliver tailored solutions
• Support business development efforts (e.g., responding to RFPs/RFIs, developing white papers, creating pitch decks and capability briefings, etc.)

Requirements:

• An ACTIVE and MAINTAINED 'SECRET' Federal or DoD security clearance
• Bachelor's degree obtained
• THREE (3) or more years' experience in hands-on data engineering and/or database management
• Hands‑on experience with Foundry Code Repositories, Pipeline Builder, Workshop, Slate, and Machinery
• Experience developing data pipelines, UIs, workflows, and automations inside Palantir
• Experience supporting performance monitoring and operational tooling within Foundry
• Strong scripting or programming experience (PySpark preferred)
• Experience detecting data issues affecting the performance of data pipelines and devise techniques for resolving or mitigating them
• Ability to support remote, hybrid, and on-site projects in the DC metro area
• SIX (6) years' experience in hands-on data engineering, industrial engineering and/or operations research
• Understanding of relational database concepts and structures
• Understanding of platform governance practices and observability
• Bachelor's degree in a STEM field