Data Engineer (IE / Ops Research)
About The Position
This role focuses on engineering, building, and maintaining data pipelines, applications, workflows, and governance capabilities within the Palantir platform, specifically utilizing Code Repositories, Workshop, Slate, and AIP. The position involves developing data pipelines for collecting, transforming, cleaning, and validating data, as well as building and maintaining governance applications for platform performance, compliance, and operational health. A key aspect of the role is applying industrial engineering methods such as time studies, process mapping, Lean/Six Sigma, and constraints analysis to enhance depot and sustainment processes. The Data Engineer will also conduct capacity, throughput, and bottleneck analyses for various operational environments to inform strategic decisions, integrate data from ERP/MRO/maintenance systems into simulation models for forecasting and scheduling, and collaborate with cross-functional stakeholders to design and test "what-if" scenarios. Additionally, the role requires preparing decision-support briefings and visualizations for senior leaders, supporting the adoption of advanced analytics and digital engineering approaches, developing trusted client relationships, and assisting with business development efforts.
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.
- Experience in one or more areas of the following;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.
- Experience in 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.
Nice To Haves
- 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.
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.).
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
