WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Palantir Foundry Developer (Contract - Nashville TN | Remote | Georgia)

SYMHAS L.L.C.
Nashville, GA, United States
about 1 month ago

Role details

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

Tech stack

Data Validation Extract Transform Load (ETL) Python (Programming Language) SQL Databases Apache Spark Pyspark Software Coding Data Pipelines

Job description

  • Foundry Platform Development: Design, build, and maintain data pipelines, ontology objects, and Workshop applications using Pipeline Builder, Code Workbook, Contour, and Workshop.
  • Ontology Design & Data Modeling: Define object types, properties, links, and action types for a unified semantic layer across enterprise data domains.
  • Data Pipeline Engineering: Build scalable ETL/ELT pipelines using Spark, Python (PySpark), and SQL transforms with incremental processing and data quality checks.
  • Application & Dashboard Development: Develop Workshop applications, Contour analyses, and dashboards for business stakeholders.
  • Stakeholder Collaboration: Translate business requirements into Foundry solutions; lead demos and drive adoption.
  • Governance: Establish coding standards, governance frameworks; mentor junior developers.

Requirements

Do you have experience in Spark implementation?, * 3+ years hands-on Palantir Foundry Ontology, Pipeline Builder, Workshop, Contour Python/Spark/SQL

Apply for this position

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

Apply on indeed.com

Good distractions

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

Moments

Explore playlists

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

4:45 min

Building careers inside distributed technology consulting environments

Oliver Zimmert · LIVE

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:23 min

Running offline artificial intelligence models using Foundry Local

Isha Salania Isha Salania · WWC Europe 2026

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · WWC 2025

Videos

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

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Enjoying SQL data pipelines with dbt thumbnail
26:53
WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
WWC 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Building the platform for providing ML predictions based on real-time player activity thumbnail
30:57
WWC 2024 • almost 2 years ago

Building the platform for providing ML predictions based on real-time player activity

Artem Volk, Fabian Zillgens

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
28:41
WWC 2025 • 12 months ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Empowering Retail Through Applied Machine Learning thumbnail
22:41
WWC 2024 • almost 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Related articles

See all