Senior Associate, Application Developer - Data Engineer

Work on a large-scale Data and AI transformation program building secure, scalable data pipelines in the Palantir Foundry platform.

Responsibilities

• Build and optimize robust, reliable, high-performance data pipelines for enterprise-scale processing and downstream application performance.
• Implement data ingestion, transformation, enrichment, validation, and monitoring logic to keep data products accurate, timely, and operationally dependable.
• Perform pipeline troubleshooting, performance tuning, and defect resolution to improve resiliency, maintainability, and scalability.
• Convert business requirements, operational processes, and domain rules into transformation logic that produces trusted, consumable data assets.
• Create transformation frameworks that encode business logic consistently across source systems and downstream use cases.
• Collaborate with business analysts, product owners, and domain stakeholders to align data outputs to agreed-upon rules, calculations, and definitions.
• Contribute to curated datasets and reusable data products for analytics, reporting, operational workflows, and AI-enabled applications.
• Partner with data architects and senior engineers to align pipelines and data products with enterprise architecture standards and standardized ontology models in Palantir Foundry.
• Support ontology-aligned datasets, object relationships, and semantic models that enable interoperability across domains and applications.
• Help drive platform consistency through common patterns, naming conventions, governance practices, and integration standards.
• Support architecture teams to ensure solutions are scalable, maintainable, and aligned to long-term enterprise data strategy.
• Implement data quality checks, reconciliation logic, validation rules, and observability mechanisms to increase confidence in enterprise data products.
• Support governance via traceable transformation logic, documentation, lineage awareness, and adherence to platform and enterprise standards.
• Collaborate with security, infrastructure, and operations teams to support compliant, secure, and reliable deployments in a regulated environment.
• Write clean, maintainable, well-documented code following team standards for version control, peer review, testing, and deployment.
• Participate in unit testing, integration testing, debugging, and continuous improvement for pipeline and data product components.
• Use modern engineering tools, including AI-assisted development tools where appropriate, to improve productivity, quality, and consistency.
• Participate in agile ceremonies including sprint planning, backlog refinement, daily standups, demos, and retrospectives.
• Provide task status updates, identify blockers, and support delivery commitments for assigned work.
• Understand requirements and deliver technical solutions alongside architects, product owners, business analysts, and peer engineers.
• Contribute to continuous improvement of team engineering practices, tooling, and delivery processes.
• Build proficiency in Palantir Foundry development frameworks, enterprise data integration patterns, ontology-driven development, and data platform best practices.
• Continuously expand technical knowledge across data engineering, data modeling, software engineering, and enterprise platform delivery.

Requirements

• Bachelor’s Degree and minimum 2 years of prior relevant experience.
• Graduate Degree with 0 to 2 years of prior related experience.
• In lieu of a degree: minimum 6 years of prior related experience.

Technologies

• Palantir Foundry, Palantir Workshop, Palantir Pipelines, Palantir Code Repositories, Palantir Ontology, Palantir Operational Applications
• Python, TypeScript, JavaScript
• ETL/ELT, Pipelines
• Code repositories
• Ontology, Workshop
• Operational Applications

Benefits

• Health and disability insurance
• 401(k) match
• Flexible spending accounts
• EAP
• Education assistance
• Parental leave
• Paid time off
• Company-paid holidays

Job Location

• Melbourne, FL; Arlington, VA; Herndon, VA; Salt Lake City, UT; Greenville, TX; Plano, TX; Rochester, NY (hybrid)
• Remote opportunity

Job Schedule

• 9/80 schedule: employees work 9 out of every 14 days (80 hours total) and have every other Friday off

Preferred Additional Skills

• Experience developing data-intensive software solutions using modern programming languages such as Python, TypeScript, JavaScript, or similar.
• Experience building, supporting, or maintaining data pipelines, ETL/ELT workflows, or system integrations.
• Experience working with relational or non-relational databases and structured or semi-structured data.
• Understanding of software engineering best practices: version control, code reviews, unit testing, debugging, and CI/CD concepts.
• Familiarity with data quality, validation, and troubleshooting techniques in data workflows.
• Experience with Palantir Foundry (Pipelines, Code Repositories, Ontology, Workshop, Operational Applications, or ontology-based development).
• Experience designing or supporting robust, high-performance enterprise data pipelines across multiple source systems.
• Experience implementing business logic within data transformations for operational or analytical use cases.
• Exposure to AI/ML-enabled workflows, analytics applications, or operational data products.
• Experience in regulated industries such as defense, aerospace, manufacturing, finance, or healthcare.
• Familiarity with secure software development practices, data governance concepts, and enterprise data management principles.

Compensation

• USD 80,500 - 149,500 per year
• California, Massachusetts, New Jersey, Washington, and Greater D.C, Denver, or NYC areas: $80,500 - $149,500
• Colorado, Hawaii, Illinois, Maryland, Minnesota, New York, and Vermont: $70,500 - $130,500
• Final offer amount may vary based on experience and geographic location

Security Clearance

• Many positions require the ability to obtain a security clearance.
• Security clearances may only be granted to U.S. citizens.
• Applicants accepting a conditional offer may be subject to government security investigations and must meet eligibility requirements for access to classified information.