Sr Data Engineer

Job Title: Sr. Data Engineer

Location: Washington, DC (20% onsite_ No separate travel expenses_ local preferred)

Duration: Long term contract

Experience: 10+ years

Note: Palantir Foundry is the main skill

Technical Skills:

Technical Skills:

Day-to-Day Responsibilities:

• Collaborative Teamwork: Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients' needs.
• 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.
• 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.
• 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.
• Collaboration: Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.

Core Responsibilities:

• 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.
• Analytical & Problem-Solving Skills: Strong abilities in breaking down complex problems and constructing end-to-end solutions that work.
• 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.
• Independent Ownership: Capability to work autonomously while owning outcomes, with support available but a desire to take the driver's seat.
• Real-World Impact Delivery: A proven track record of delivering meaningful outcomes through software and analytical products.
• Collaborative Skills: Strong ability to collaborate with teammates and clients of varying technical proficiency, embedding with clients and joining their teams.
• Willingness to Travel: Flexibility to travel as needed for client implementation work as needed.
• 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.

Qualifications and Skills:

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

Bonus points if you have:

• Experience building solutions with large language models.
• Active Federal security clearance #LI-DataAI.