1 day ago
Washington, DC, USAMid Level
Base Salary
$155k - $170k/yr
Responsibilities
- Design, build, and maintain scalable data solutions, pipelines, ETL processes, workflows, and transformation logic within Palantir Foundry.
- Use the Foundry Ontology to model and organize enterprise data and manage data objects, actions, schemas, assets, metadata, and security policies.
- Create Foundry applications, workflows, data pipelines, analytics, and AI/ML solutions for business and operational objectives.
- Develop custom analytics and machine-learning models in Foundry using Python and SQL.
- Integrate Foundry data solutions with AI/ML platforms, analytics tools, and broader cloud ecosystems.
- Collaborate with end users, stakeholders, cross-functional teams, and the FAA Palantir Foundry Product Owner to gather requirements and support platform adoption.
- Troubleshoot and resolve data pipeline, infrastructure, and platform issues.
- Document data flows, schemas, analyses, methodologies, engineering processes, and user guidance.
- Provide user support, training, and knowledge-sharing resources while continuously improving Foundry solutions.
Requirements
- Ability to obtain and maintain a government-issued public trust.
- Bachelor’s degree in computer science, electrical engineering, or a related field.
- At least four years of demonstrated experience implementing Palantir Foundry solutions in a large enterprise environment.
- Deep hands-on knowledge of Palantir Foundry or similar platforms, including ontology, asset and catalog management, data lineage, governance, and security features.
- Experience building scalable data pipelines, ETL processes, workflows, and batch and real-time transformation logic.
- Experience configuring data assets, schemas, security policies, catalog and metadata capabilities, and collaborative platform features.
- Experience integrating data solutions with AI/ML platforms and analytics tools, including deploying models and implementing Foundry AI capabilities.
- Experience extracting, transforming, analyzing, and interpreting large, complex datasets.
- Ability to translate business and analytics requirements into scalable data engineering and analytical solutions.
- Strong collaboration, communication, solution development, trust-building, and stakeholder influence skills.
Benefits
- US-remote role with flexible work arrangements.
- Flexible Time Off available from the first day, plus paid holidays and potential time off during the last week of the calendar year when project work permits.
- Health, dental, vision, life, accident, and disability insurance options.
- Wellness program with opportunities to earn gift cards and other rewards.
- Employer HSA contributions and 401(k) contributions.
- Eleven paid holidays annually.
- Paid parental bonding leave for birth, adoption, and foster children.
- Tuition reimbursement, pet insurance, employee and client referral bonuses, and paid community volunteer time.