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Tech Stack
Tools & technologiesPySparkPythonSparkSQL
About the role
Key responsibilities & impact- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
What you’ll need- 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 or similar enterprise data platforms.
- 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.
Benefits
Comp & perks- We recognize our associates are the foundation of our success. That’s why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions—whether you’re looking for part-time flexibility or full-time career advancement.
- Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include "Applicant Accommodation" in the subject of your email to expedite the request.
- Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.
- The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata transformationsdata modelsdata governancedata qualityPythonSQLSparkPySparkenterprise data architecture
Soft Skills
communicationcollaborationtechnical guidancetroubleshootingcontinuous improvementstakeholder partnershiptranslating business requirementsclear communication of technical conceptsbalancing delivery speed with scalabilitypeer support
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Information Systems