Data Engineer – IE, Ops Research

Jobtailor; Deutschland; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Palantir seeks an experienced Data Engineer to build and maintain data pipelines, applications, and governance capabilities inside the Palantir platform. You will leverage Code Repositories, Pipeline Builder, Workshop, and Slate to deliver scalable solutions across departments.

The role requires 3+ years of hands‑on data engineering, strong PySpark skills, and the ability to work across remote, hybrid, and on‑site settings in the DC metro area.

Qualifikationen

• ACTIVE and MAINTAINED SECRET security clearance.
• Bachelor's degree obtained.
• THREE (3) or more years’ experience in hands‑on data engineering and/or database management.
• Experience with Foundry Code Repositories, Pipeline Builder, Workshop, Slate, and Machinery.
• Strong scripting or programming experience (PySpark preferred).
• Experience detecting data issues affecting data pipelines and devising mitigation techniques.
• Ability to support remote, hybrid, and on‑site projects in the DC metro area.

Aufgaben

• Build and configure data pipelines using Palantir Code Repositories and Pipeline Builder.
• Develop data pipelines, UIs, workflows, and automations inside Palantir.
• Develop and maintain governance applications monitoring platform performance and health.
• Integrate data from ERP/MRO/maintenance systems into simulation models for forecasting and scheduling.
• Collaborate with cross‑functional stakeholders to design and test “what‑if” scenarios for planning and modernization.

Kenntnisse

Data Pipeline Development

Palantir Platform Experience

PySpark

Data Governance

Security Clearance

Ausbildung

Bachelor's degree obtained

Tools

Palantir Foundry

Code Repositories

Pipeline Builder

Workshop

Slate

Jobbeschreibung

• 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.
• 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.

Core Competencies

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 Development
• Palantir Platform Experience
• Scripting with PySpark
• Data Governance Applications
• Federal Security Clearance

ATS Optimization Keywords

Hard Skills

• Data Engineering
• Database Management
• Data Transformation
• Data Validation
• Performance Monitoring
• Automation Implementation
• Process Mapping
• Lean/Six Sigma
• Capacity Analysis
• Predictive Modeling

Soft Skills

• Collaboration
• Client Relationship Management
• Clear Communication
• Problem Solving

Certifications & Qualifications

• SECRET Federal Security Clearance

Industry Keywords

• Depot Maintenance
• Supply Chain
• MRO
• Operational Health
• Digital Engineering

Tools & Technologies

• Palantir Foundry
• Code Repositories
• Pipeline Builder
• Workshop
• Slate