Data Engineer

Job Description

Data Engineer

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Hybrid in Washington, DC.

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Palantir Foundry is the main skill

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Technical Skills:

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Skill

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Palantir Foundry

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Data Engineering

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Python (Programming Language)

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Role Description:

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Day-to-Day Responsibilities:

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Collaborative Teamwork: Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet clients’ needs.

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Data Synthesis: Understand a client’s most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.

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Rapid Iteration: Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.

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Production-Grade Solutions: Develop production-grade solutions that make sense of the client’s data and process it through an actionable workflow that can help clients make better decisions.

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Collaboration: Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.

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Core Responsibilities:

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Client Success Obsession: A deep commitment to helping clients succeed, even beyond the original scope. You thrive on solving hard customer problems and take pride in delivering solutions that drive real value.

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Analytical & Problem-Solving Skills: Strong abilities in breaking down complex problems and constructing end-to-end solutions that work.

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Technical Proficiency: Proficiency in relevant programming languages (e.g., Python, TypeScript) and the ability to build applications that utilize large structured and unstructured datasets in production environments.

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Independent Ownership: Capability to work autonomously while owning outcomes, with support available but a desire to take the driver’s seat.

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Real-World Impact Delivery: A proven track record of delivering meaningful outcomes through software and analytical products.

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Collaborative Skills: Strong ability to collaborate with teammates and clients of varying technical proficiency, embedding with clients and joining their teams.

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Willingness to Travel: Flexibility to travel as needed for client implementation work as needed.

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In this role, you’ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations function by providing powerful tools to those who can drive change.

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Qualifications and Skills:

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• Bachelor’s degree in Computer Science or related field
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• Palantir Foundry: Proven experience building data pipelines, managing datasets, and deploying applications within Foundry. Specifics required are as follows:
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• Practical skills required to build and maintain production-grade data pipelines, data connections, and ontologies
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• General knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineer
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• Data pipeline development in Foundry
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• Develop transforms on structured (tabular) and unstructured datasets in Foundry
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• Apply best practices when building data pipelines
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• Data pipeline maintenance in Foundry
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• Effectively investigate and fix common issues in data pipelines
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• Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows
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• Familiarity with recommended support structures
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• Data connection and integration in Foundry
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• Familiarity with architecture and capabilities of Data Connection
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• Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry
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• Ontology design and development in Foundry
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• Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements
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• Demonstrated ability to build production-grade code that leverages both structured and unstructured datasets
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• Strong foundation in machine learning
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• Strong programming skills with demonstrated proficiency in Python, Java, C++, TypeScript/ JavaScript, or similar
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• Ability to travel, dependent on client and team.
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• Bonus points if you have:
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• Experience building solutions with large language models
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• Active Federal security clearance
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