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:
Skill
Years/Level of Experience
Palantir Foundry
P3 - Advanced
Data Engineering
P3 - Advanced
Python (Programming Language)
P3 - Advanced
Technical Skills:
Skill
Years/Level of Experience
Palantir Foundry
P3 - Advanced
Data Engineering
P3 - Advanced
Python (Programming Language)
P3 - Advanced
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.