Palantir Platform Engineer

Bespoke Technologies Inc.; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Palantir in Herndon, VA is seeking a Palantir Platform Engineer to build and govern scalable data pipelines on-site. The role focuses on connecting ETL conditioners to Palantir tooling, improving observability, and enabling comprehensive insight into data transformation processes.

The candidate will use PySpark and Python to design robust pipelines, leverage AI to accelerate processing, and ensure data quality for advanced analytics products, with a strong emphasis on DevOps practices and

Qualifications

• Active Poly clearance required.
• Experience connecting ETL conditioners to Palantir tooling.
• Strong focus on data governance and validation.
• Experience with Palantir platform deployment and integration.

Responsibilities

• Connect ETL conditioners to Palantir tooling and enhance data conditioning.
• Ensure stakeholders have insight into each phase of data transformation.
• Design and implement robust data pipelines using PySpark and Python.
• Harness AI to optimize pipelines and processing speed.
• Maintain data quality and readiness for analytics tools.

Skills

Palantir Foundry

PySpark

Python

ETL Pipelines

Data Conditioning

Observability

Data Governance

Logging & Monitoring

DevOps

AI for pipelines

Ontology Modeling

Tools

Palantir Foundry

Job description

Palantir Platform Engineer

Herndon, VA

Full Time

Experienced

BT-420 - Palantir Platform Engineer
Herndon, VA (fully on-site, no remote option)

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

Your responsibilities will include connecting ETL conditioners to Palantir tooling, which enhances observability and accelerates data conditioning efforts. You will ensure that stakeholders maintain comprehensive insight into each phase of the transformation process, leveraging your expertise in data ontology, logging, and monitoring. Utilizing your skills in PySpark and Python, you will design and implement robust data pipelines that support seamless data flow and transformation.

In this position, you will also harness AI to augment and optimize data pipelines, driving greater speed and efficiency in processing large datasets. Your focus on data governance and validation will be essential as you prepare products for integration into advanced analytics tools, ensuring data quality and reliability. Experience with DevOps practices will be valuable as you manage deployment and operational aspects of the platform, while your familiarity with Palantir Foundry and ontology modeling will help you navigate complex data environments. Success in this role will be supported by a strong background in building scalable ETL solutions, implementing monitoring frameworks, and collaborating with cross-functional teams to deliver actionable data insights.

Preferred Skills/Experience:

• 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

Desired Skills:

• 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 Validation of data products