Palantir Platform Engineer

Job Description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

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 Dev Ops 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.

• 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.

• 8+ years of experience with Dev Ops practices or a related field.
• Experience in the following areas:
• Expertise in building and integrating ETL Pipelines
• Proficiency in PySpark and Python
• Experience leveraging AI to augment data pipelines

• Bachelor’s Degree
• Palantir Foundry
• Strong understanding of Ontology and Data Ontology
• 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

Active TS/SCI with Poly security clearance is required.

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below.

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