Palantir Platform Engineer

Bespoke Technologies, Inc.

Herndon (VA)

Hybrid

USD 130,000 - 190,000

Full time

4 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Job summary

Bespoke Technologies, Inc. in Herndon, VA is seeking a Palantir Platform Engineer for a strictly on-site role. A active Poly clearance is required for consideration and the candidate will work to connect ETL conditioners to Palantir tooling.

The role involves building data pipelines using PySpark and Python, applying data governance, and leveraging AI to enhance data processing across large datasets in a complex analytics environment.

Qualifications

Experience linking ETL conditioners to Palantir tooling
Ability to increase observability and accelerate data conditioning
Experience ensuring end-to-end insight into data transformation processes
Experience integrating validated products into analytics tools

Responsibilities

Connect ETL conditioners to Palantir tooling
Ensure stakeholder visibility into all data transformation phases
Design and implement robust data pipelines with PySpark and Python
Leverage AI to optimize data pipelines and processing of large datasets
Apply data governance and validation to prepare data for analytics tools
Support deployment and operational aspects with DevOps practices

Skills

PySpark

Python

Data governance

DevOps

Ontology modeling

ETL pipelines

Observability

Tools

Palantir Foundry

Logging solutions

Monitoring solutions

Job description

BT-420 - Palantir Platform Engineer Herndon, VA (fully on-site, no remote option)

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

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.

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

Desired Skills: