Senior Data Engineer, Palantir Foundry

Senior Data Engineer- Palantir Foundry will be responsible for designing, building, and scaling enterprise data products and operational workflows using Palantir Foundry as part of Acosta’s connected data initiative. The role serves as a senior individual contributor, translating complex business processes into governed, production-grade data pipelines, ontologies, and applications that enable analytics, automation, and decision support across the organization.

Data Pipeline & Product Engineering

• Design, build, and maintain end‑to‑end data pipelines within Palantir Foundry, from raw data ingestion through curated and production‑ready datasets.
• Develop scalable, reusable data transformations that support enterprise analytics and operational workflows.
• Ensure data pipelines meet performance, reliability, and quality standards in production environments.

Ontology & Data Modeling

• Design and maintain Foundry ontologies that model business domains, data relationships, and operational concepts.
• Ensure data models promote consistency, reusability, and usability across analytics and application teams.
• Partner with stakeholders to translate business requirements into governed data structures.

Governance, Quality & Reliability

• Embed data governance, lineage, access controls, and compliance standards into all data products.
• Implement monitoring, testing, and validation to ensure data accuracy and reliability.
• Support production operations, troubleshooting, and continuous improvement of data pipelines.

Engineering Practices & Standards

• Apply strong software engineering practices, including version control, testing, documentation, and deployment.
• Contribute to shared patterns, frameworks, and standards across the data engineering organization.
• Provide technical guidance and peer support within the data engineering team.

Collaboration & Stakeholder Partnership

• Work closely with analytics, AI, and business teams to deliver data products that support decision‑making and automation.
• Communicate technical concepts clearly to non‑technical partners.
• Balance delivery speed with scalability, maintainability, and governance requirements.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
• 4 or more years of experience in data engineering or software engineering roles delivering production‑grade data pipelines.
• Hands‑on experience working within Palantir Foundry.
• Strong proficiency in Python and SQL; experience with distributed processing frameworks such as Spark or PySpark preferred.
• Experience designing data models and supporting analytics or operational data products.
• Strong understanding of data governance, data quality, and enterprise data architecture principles.
• Ability to translate business requirements into scalable technical solutions.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience designing ontology‑driven data models or semantic layers.
• Experience supporting large‑scale, enterprise data environments.
• Familiarity with cloud‑based data platforms and modern data engineering tools.
• Experience mentoring or providing technical guidance to other engineers.

Physical Requirements

• Seeing, Listening, Color Perception

Work Environment

• Inside, Face-to-Face, Work with Others

Mental / Reasoning

• Reading – Complex

• Math – Complex

• Analysis/Comprehension

• Judgment/Decision Making.

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