Palantir Platform Engineer

Accenture Federal Services•Herndon, VA

9h•$130,200 - $265,300

About The Position

The Palantir Platform Engineer assists with integrating custom ETL workflows into the Palantir platform. This includes connecting ETL conditioners to Palantir tooling to increase observability, accelerating data conditioning efforts, and ensuring stakeholders have full insight and knowledge into each step of the transformation process. The Palantir Platform Engineer also uses AI to augment pipelines, increasing the speed and efficiency of data processing efforts while also ensuring to validate products prior to integration into analytics tools for data exploitation. 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

8+ years of experience with DevOps practices or a related field.
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
Experience leveraging AI to augment data pipelines
Strong skills in Validation of data products
Active TS/SCI with Poly security clearance is required

Nice To Haves

Bachelor’s Degree
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

Connect ETL conditioners to Palantir tooling, which enhances observability and accelerates data conditioning efforts.
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.
Harness AI to augment and optimize data pipelines, driving greater speed and efficiency in processing large datasets.