WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Palantir Engineer

Ivertix Incorporated
Arlington, VA, United States
8 days ago
Apply on www.clearancejobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.clearancejobs.com

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Extract Transform Load (ETL) Data Systems Python (Programming Language) Standard Sql SQL Databases Systems Integration Pyspark Data Pipelines Databricks

Job description

Build and maintain data pipelines and ETL/ELT workflows.

Requirements

We are seeking a Palantir Engineer with hands-on experience in Palantir Foundry or Gotham to support mission-driven data solutions. The ideal candidate will have strong Python and SQL skills, experience building data pipelines and integrations, and the ability to work on-site as needed in Crystal City and the Pentagon., 3+ years of hands-on Palantir experience.

Strong Python, SQL, and PySpark experience.

Experience with data modeling and workflow automation.

Familiarity with AWS, Azure, APIs, or Databricks.

Federal or DoD environment experience preferred.

Active clearance such as Secret, Public Trust, or higher preferred.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · World Congress 2024

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing thumbnail
31:52
World Congress 2026 Europe • about 2 months ago

Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing

Isha Salania

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Hiring AI Native Talents thumbnail
10:10
World Congress 2026 Europe • about 2 months ago

Hiring AI Native Talents

Zahhar Kirillov

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

Related articles

See all