Palantir Platform Engineer

GRVTYHerndon, VA
$150,000 - $250,000Onsite

About The Position

GRVTY is seeking a Palantir Platform Engineer with a TS/SCI + Poly clearance to join one of our top projects. As a Palantir Platform Engineer, you will play a pivotal role in integrating custom ETL workflows within the Palantir ecosystem. 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.

Requirements

  • Active TS/SCI with Polygraph Clearance
  • 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

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

  • Integrating custom ETL workflows within the Palantir ecosystem.
  • Connecting ETL conditioners to Palantir tooling.
  • Ensuring stakeholders maintain comprehensive insight into each phase of the transformation process.
  • Leveraging expertise in data ontology, logging, and monitoring.
  • Designing and implementing robust data pipelines using PySpark and Python.
  • Harnessing AI to augment and optimize data pipelines.
  • Focusing on data governance and validation for products integrated into advanced analytics tools.
  • Managing deployment and operational aspects of the platform using DevOps practices.
  • Navigating complex data environments with familiarity with Palantir Foundry and ontology modeling.
  • Building scalable ETL solutions.
  • Implementing monitoring frameworks.
  • Collaborating with cross-functional teams to deliver actionable data insights.

Benefits

  • Competitive pay
  • Comprehensive benefits
  • Meaningful opportunities for professional growth
  • Robust health plan including medical, dental, and vision
  • Health Savings Account with company contribution
  • Annual Paid Time Off and Paid Holidays
  • Paid Parental Leave
  • 401k with generous company match
  • Training and Development Opportunities
  • Award Programs
  • Variety of Company Sponsored Events
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