Palantir Platform Engineer with Security Clearance

Hoplite Solutions LLC; Herndon (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Hoplite Solutions LLC is seeking a Palantir Platform Engineer to support mission-facing data engineering and platform development. You will integrate custom ETL workflows within the Palantir ecosystem, while improving observability and accelerating data conditioning.

Responsibilities include building robust PySpark/Python data pipelines, applying AI to optimize processing, and ensuring data quality and governance for analytics readiness.

Qualifications

• Experience with Palantir Foundry and data platforms.
• Strong knowledge of data ontology and governance.
• Proven ETL pipeline design and integration skills.
• Proficient in PySpark and Python for data pipelines.
• Experience with logging, monitoring, and observability.

Responsibilities

• Integrate custom ETL workflows within the Palantir ecosystem.
• Enhance observability and accelerate data conditioning.
• Design robust PySpark-based data pipelines.
• Leverage AI to optimize data pipelines and processing speed.
• Ensure data governance, quality and lineage across transformations.
• Collaborate with cross-functional teams to deliver data insights.

Skills

Ontology knowledge

ETL pipeline design

AI for data pipelines

Observability

Data governance

DevOps practices

End-to-end data transformation

Data quality assurance

Python

PySpark

Tools

Palantir Foundry

Logging & Monitoring tools

Data governance tooling

Job description

Job Description Hoplite Solutions is seeking a Palantir Platform Engineer to support mission-facing data engineering and platform development efforts. This role will focus on integrating custom ETL workflows within the Palantir ecosystem, improving observability, accelerating data conditioning, and enabling clear insight into data transformation processes. 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.

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