Data Engineer – IE, Ops Research

Guidehouse

Data Engineer focusing on data pipelines, applications, and governance capabilities within Palantir. Collaborating with stakeholders and delivering tailored solutions for clients.

Posted 7/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $85,000 - $141,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines and applications within the Palantir platform, utilizing tools such as Code Repositories, Pipeline Builder, and Workshop. Proficient in applying industrial engineering methods to enhance operational efficiency and support data-driven decision-making.

Highest-signal resume keywords

Data Pipeline DevelopmentPalantir Platform ExperienceScripting with PySparkData Governance ApplicationsFederal Security Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase ManagementData TransformationData ValidationPerformance MonitoringAutomation ImplementationProcess MappingLean/Six SigmaCapacity AnalysisPredictive Modeling

Soft Skills

CollaborationClient Relationship ManagementClear CommunicationProblem Solving

Tools & Technologies

Palantir FoundryCode RepositoriesPipeline BuilderWorkshopSlate

Certifications & Qualifications

SECRET Federal Security Clearance

Industry Keywords

Depot MaintenanceSupply ChainMROOperational HealthDigital Engineering

Tech Stack

Tools & technologies

ERPPySpark

About the role

Key responsibilities & impact

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

What you’ll 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.

Benefits

Comp & perks

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