Data Engineer (IE / Ops Research)
Job Family:
Data Engineering & Architecture Consulting Travel Required:
Up to 10% Clearance Required:
Active Secret What You Will Do:
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.).
What You Will Need:
-
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.
Experience in one or more areas of the following;
i.Hands‑on experience with Foundry Code Repositories, Pipeline Builder, Workshop, Slate, and Machinery
ii.Experience developing data pipelines, UIs, workflows, and automations inside Palantir.
iii.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.
What Would Be Nice To Have:
-
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.
The annual salary range for this position is $85,000.00-$141,000.00. 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:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation