Platform Engineer

Pinnacle Government Solutions; Herndon (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Pinnacle Government Solutions is seeking a Palantir Platform Engineer to integrate custom ETL workflows within Palantir and enhance observability across data transformations. You will build data pipelines with PySpark and Python to support transformation and data conditioning for DoD and IC workloads.

Required: Active TS/SCI with polygraph, Palantir Foundry experience, ontology knowledge, and strong data governance, logging, monitoring, and DevOps skills to ensure reliable deployment and

Qualifications

• Active TS/SCI clearance w/ 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 Validation of data products.

Responsibilities

• Integrate custom ETL workflows within Palantir ecosystem.
• Design robust data pipelines using PySpark and Python.
• Ensure observability, logging, and monitoring across transformations.
• Support data governance, validation, and deployment in a DevOps context.

Skills

TS/SCI clearance

Palantir Foundry

Ontology / Data Ontology

ETL pipelines

PySpark

Python

Logging & Monitoring

Data governance

DevOps

AI in data pipelines

Data validation

Tools

Palantir Foundry tooling

Job description

Pinnacle Government Solutions is a minority-owned small business that provides Software, AI/ML, and Cloud Engineering Solutions for our Department of Defense, Intelligence Community, and Federal Civilian agencies. We bring SME-level expertise and over five decades of combined industry knowledge and Talent Acquisition experience. We believe in getting it right for our customers and our country.

We are looking for a Palantir Platform Engineer who 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.

Required Skills:

• Active TS/SCI clearance w/ 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 Validation of data products

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