Foundry Engineer

Seneca Resources

Alexandria, United States of America

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Junior

Compensation

$ 230K

Remote

Alexandria, United States of America

Amazon Web Services (AWS)

Azure

Information Systems

Information Engineering

ETL

Hadoop

Python

Metadata

Meta-Data Management

Software Engineering

SQL Databases

Systems Integration

Spark

SC Clearance

PySpark

low-code

Data Management

Databricks

Design, implement, and maintain Foundry pipelines ingesting data from internal and external systems
Format, cleanse, and enrich data for downstream analytics and applications
Monitor pipeline health, troubleshoot platform connections, and optimize asset performance
Build and maintain datasets, objects, and ontologies to support analytics and operations
Collaborate with data scientists and analysts to refine workflows, templates, and integrations
Implement access controls, metadata management, and governance best practices
Identify automation and performance improvement opportunities within Foundry
Stay current on new Foundry features and development best practices

At least 1 year of direct Palantir Foundry experience (pipeline building, object maintenance, app development)
6+ years overall development experience (e.g., PySpark, Databricks, low-code, data engineering)
Strong understanding of low-code modules and Foundry's application development layer
Ability to coach/lead technical teams in a collaborative client-facing environment
Federal/DoD experience preferred, * Bachelor's degree in IT, Information Systems, or related field
Active Secret Clearance
Proficiency in Python, SQL, and ETL frameworks
Experience working with AWS, Azure, or GCP and integrating cloud/on-prem data sources
Solid knowledge of data modeling, metadata, ontologies, and governance best practices, * Experience working in federal or regulated environments
Prior hands-on Foundry work (creating pipelines, establishing objects, monitoring asset health)
Familiarity with big data tools such as Spark, Hadoop, or Databricks
Strong communication, analytical, and troubleshooting skills