- Company: Get A Job.ai
- Location: US
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential technology organization seeking an experienced Senior Data Engineer with deep expertise in Palantir platforms. This is a chance to design, build, and optimize enterprise-scale data solutions that power critical business operations and analytics.
Our talent team is looking for a professional who can lead data ingestion, transformation, modeling, and the development of operational data applications. You'll work with modern data platforms and help shape how our client leverages data to drive decisions.
Responsibilities
- Design and implement enterprise-scale data solutions using Palantir Foundry and related technologies
- Build robust data ingestion pipelines from multiple sources
- Develop data transformation workflows and optimize data models for performance
- Create and maintain operational data applications that serve business stakeholders
- Collaborate with analytics teams to enable self-service data access
- Ensure data quality, governance, and security best practices
- Optimize existing data infrastructure for scalability and reliability
What We're Looking For
- Strong experience as a Data Engineer with Palantir Foundry platform expertise
- Proven track record designing and deploying enterprise data solutions
- Deep understanding of data modeling, ETL/ELT processes, and data warehousing concepts
- Proficiency in SQL and at least one programming language (Python, Java, or Scala preferred)
- Experience with data pipeline orchestration and workflow management
- Knowledge of data governance, security, and compliance frameworks
- Strong problem-solving skills and ability to work independently
- Excellent communication skills to collaborate with technical and business stakeholders
- Located in or willing to work US hours
How We Work With You
Candidates apply directly through Get A Job.ai. Our recruiting team will screen your background and qualifications, then present qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all communication is managed through our talent team to ensure a smooth process for everyone.
Pay
Compensation details will be discussed with qualified candidates during the screening process based on experience and qualifications.
Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work with clients who share our commitment to building diverse teams.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Senior Data Engineer (Palantir)
- Employer Get A Job.ai
- Location US
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 2, 2026
- Apply by October 2, 2026
- Country United States
- Overview Full job description on this page (344 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
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Occupation family: Data Engineer
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