Palantir Platform Engineer
About The Position
As a Palantir Platform Engineer, you will integrate custom ETL workflows within the Palantir ecosystem, connecting ETL conditioners to Palantir tooling to improve observability and accelerate data conditioning. You will provide stakeholders with insight into each phase of data transformation using expertise in data ontology, logging, and monitoring. You will design and implement data pipelines with PySpark and Python, and use AI to optimize pipelines and improve the processing of large datasets. Data governance and validation will help ensure data quality and reliability as products are prepared for integration with advanced analytics tools. You will also manage deployment and operational aspects of the platform using DevOps practices, and work with Palantir Foundry and ontology modeling in complex data environments. The role involves building scalable ETL solutions, implementing monitoring frameworks, and collaborating with cross-functional teams to deliver actionable data insights. The work environment may include a business office with computers, phones, and printers, as well as occasional loud noise from an airfield or large equipment. The job requires extended periods at a computer terminal. Occasional travel of up to 10% is expected. Reasonable accommodations are available for applicants with disabilities.
Requirements
- Active security clearance with appropriate polygraph.
- Experience with Palantir Foundry.
- Strong understanding of ontology and data ontology.
- Expertise in building and integrating ETL pipelines.
- Proficiency in PySpark and Python.
- Experience with logging and monitoring solutions.
- Knowledge of data governance best practices.
- Familiarity with DevOps methodologies.
- Experience leveraging AI to augment data pipelines.
- Strong skills in data-product validation.
Nice To Haves
- Experience connecting ETL conditioners to Palantir tooling.
- Background in increasing observability and accelerating data conditioning.
- Experience ensuring end-to-end insight into data transformation processes.
- Familiarity with integrating validated products into analytics tools for data exploitation.
Responsibilities
- Integrate custom ETL workflows within the Palantir ecosystem and connect ETL conditioners to Palantir tooling.
- Improve observability and accelerate data conditioning efforts.
- Provide stakeholders insight into each phase of the data transformation process using data ontology, logging, and monitoring.
- Design and implement robust data pipelines using PySpark and Python.
- Use AI to augment and optimize data pipelines and improve processing efficiency for large datasets.
- Apply data governance and validation to ensure data quality and reliability.
- Prepare validated data products for integration into analytics tools.
- Manage platform deployment and operational aspects using DevOps practices.
- Build scalable ETL solutions and implement monitoring frameworks.
- Collaborate with cross-functional teams to deliver actionable data insights.
Benefits
- Employer contributions to health care plan (medical, dental, and vision).
- Retirement plan (401k or IRA) with a generous matching program.
- Life insurance (basic, voluntary, and AD&D).
- Paid time off (vacation, sick, and public holidays).
- Short-term and long-term disability.
- Training and development.
- Employee assistance program.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
