Palantir Platform Engineer TS/SCI (FSP)

Systech Federal LLC.; Herndon (VA); Hybrid; USD 140,000 - 175,000; Full time

Job summary

Systech Federal LLC is seeking a Palantir Platform Engineer to integrate ETL workflows within the Palantir ecosystem and enhance observability and data conditioning.

You will design data pipelines using PySpark and Python, apply AI to optimize processing, and ensure data quality and governance across transformations.

Qualifications

• Experience with Palantir Foundry and data ontology.
• Proven ability to build and integrate ETL pipelines.
• Strong PySpark and Python programming skills.
• Experience with logging, monitoring, and data governance.
• Familiarity with DevOps methodologies.
• Experience applying AI to optimize data pipelines.
• Ability to validate data products.

Responsibilities

• Design and implement robust data pipelines within Palantir ecosystem.
• Leverage AI to augment and optimize data pipelines for speed and efficiency.
• Manage deployment and operational aspects of the platform in a DevOps context.
• Ensure end-to-end insight into data transformation processes and ontology modeling.
• Collaborate with cross-functional teams to deliver actionable data insights.
• Maintain data quality and reliability across pipelines.

Skills

Ontology/Data Ontology

ETL Pipelines

PySpark

Python

Data Governance

DevOps

AI for Data Pipelines

Data Validation

Observability & Monitoring

Stakeholder Collaboration

Tools

Palantir Foundry

Logging Solutions

Monitoring Solutions

Job description

Description

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.

*This role requires an active TS/SCI FSP to start*

Requirements

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

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