Data & Palantir Engineer (Ref: 195437)

Forsyth Barnes; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading tech company based in Atlanta is seeking a Palantir Foundry Developer with a strong focus on data engineering and platform development. The ideal candidate will have over 3 years of experience using Palantir solutions or 5+ years in software development, proficient in Python and PySpark, and familiarity with AWS services. This hands-on role involves developing data pipelines and models to support critical supply chain workflows, with opportunities for growth into a leadership position.

Qualifications

• 3+ years of experience with Palantir platforms or 5+ years in data engineering or software development.
• Hands-on experience with AWS services spanning data storage, compute, security, and automation.
• Strong proficiency in Python and PySpark; TypeScript experience is a plus.

Responsibilities

• Develop and manage complex data pipelines using PySpark and Foundry Pipeline Builder.
• Manage versioned code with branching strategies and peer reviews.
• Translate business logic from purchasing, logistics, compliance, and finance.

Skills

Python

PySpark

AWS

TypeScript

Data Engineering

Education

Bachelor’s or master’s degree in Computer Science

Job description

POSITION SUMMARY

We are seeking a technically strong Palantir Foundry Developer with a core focus on data engineering and platform development to design, build, and scale Foundry-based solutions that support critical supply chain workflows, analytics, and enterprise integrations.

This is a hands-on, execution-oriented role requiring deep expertise in Python, PySpark, and the Palantir Foundry ecosystem. The ideal candidate brings strong engineering fundamentals, experience delivering production-grade data pipelines and applications, and the ability to collaborate effectively with product, analytics, and operations teams.

Full-stack experience is preferred, with TypeScript considered a strong plus.

This role offers a clear growth path for high performers, including the opportunity to evolve into a Staff-level technical leader, providing architectural direction, mentoring junior engineers, and helping shape platform standards and best practices as the team scales.

KEY RESPONSIBILITIES

Data Engineering and Integration

• Develop and manage complex data pipelines using PySpark and Foundry Pipeline Builder
• Manage versioned code with branching strategies and peer reviews to ensure reproducibility
• Align data modeling and transformation logic with evolving business needs
• Model datasets and objects within the Foundry Ontology, maintaining consistent semantics, lineage, and auditability
• Own ingestion frameworks via API, SFTP, and AWS Transfer Family, standardizing adapters, schemas, and validation
• Define and enforce data quality rules (null checks, referential integrity, business constraints)
• Configure Data Health monitoring, alerting, and triage workflows
• Lead incident response for failed builds or health checks using lineage, logs, and postmortem documentation
• Translate business logic from purchasing, logistics, compliance, and finance into durable, reusable datasets powering analytics and operational tools
• Implement fine-grained permissions and approval workflows, maintaining audit trails for production changes and access escalations
• Operate and maintain AWS services including S3, EC2, VPC, Lambda, IAM, Secrets Manager, and CloudWatch
• Serve as technical owner for inbound and outbound data workflows with external partners
• Design and build applications in Palantir Foundry using tools such as Workshop, Quiver, Slate, Contour, and Ontology
• Maintain and enhance operational tools supporting analytics, forecasting, and supply chain execution
• Manage user access, application performance, data lineage, and platform health

Cross-Functional Collaboration

• Partner with teams across purchasing, logistics, compliance, and finance to deliver scalable, practical solutions
• Support troubleshooting and continuous improvement efforts to ensure system accuracy and usability

REQUIREMENTS

• 3+ years of professional experience with Palantir platforms or 5+ years in data engineering or software development
• Strong proficiency in Python and PySpark; TypeScript experience is a plus
• Hands-on experience with AWS services spanning data storage, compute, security, and automation
• Solid foundation in data architecture, integrations, and system design
• Clear, concise communicator comfortable working with both technical and non-technical stakeholders

PREFERRED QUALIFICATIONS

• Direct experience building and deploying applications in Palantir Foundry
• Exposure to supply chain, logistics, or large-scale operational environments
• Comfort operating in fast-changing, high-impact environments

EDUCATION

• Bachelor’s or master’s degree in Computer Science, Data Science, Information Systems, or a related field preferred