Foundry Data Engineer I — Build Scalable Data Pipelines

Guidehouse; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Employee Assistance Program

Parental Leave

Transit and Parking

Job summary

Guidehouse is seeking a data engineering professional to design and maintain Palantir Foundry integrations, data pipelines, and ontology models to support operational reporting, analytics, and AI initiatives. You will collaborate with data engineers, architects, scientists, and stakeholders, implement data quality and governance, and contribute to cloud-based modernization while supporting Agile workflows.

This role requires a Bachelor's in CS/IS/Engineering or related field, 2+ years with

Qualifications

• Bachelor's degree as listed or 4 additional years of experience in lieu of degree
• 2+ years experience developing solutions using Palantir Foundry, including data pipelines, transformations, data products, and application development
• Experience developing Foundry Workshops and operational applications
• Experience designing and implementing Ontology models supporting workflows
• Experience with SQL and Python (PySpark)
• Experience integrating structured and unstructured data from multiple enterprise data sources
• Experience implementing data quality, validation, testing, and governance processes
• Experience with cloud platforms (Azure, AWS, Google Cloud) and modern enterprise data architectures
• Familiarity with Agile software development methodologies and DevSecOps best practices

Responsibilities

• Design, develop, configure, and maintain data integration, analytics, and operational solutions using Palantir Foundry and related enterprise data platforms
• Build and maintain scalable data pipelines, transformations, and reusable data products supporting reporting, analytics, AI, and decision support
• Develop Palantir Ontology models, business objects, relationships, actions, and workflows
• Design and develop user-facing applications using Foundry Workshops and other Palantir application development capabilities
• Integrate data from cloud platforms, enterprise apps, APIs, databases, and external sources using scalable integration patterns
• Develop and optimize solutions using Python, SQL, and other modern languages for large-scale data processing
• Implement data quality, metadata management, lineage, and governance practices
• Collaborate with data engineers, architects, data scientists, analysts, product owners, and stakeholders
• Support Agile software development activities including sprint planning, backlog refinement, testing, deployment and continuous improvement
• Prepare technical documentation including system diagrams, data flows, and implementation guides
• Support technical modernization initiatives involving cloud platforms and AI-enabled analytics
• Ability to obtain and maintain a Public Trust or higher federal security clearance

Skills

Python

SQL

Agile methodologies

DevSecOps

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or STEM related field

Tools

Palantir Foundry

Foundry Workshops

Azure

AWS

Google Cloud

Databricks

Job description

Guidehouse is seeking a data engineering professional to design and maintain Palantir Foundry integrations, data pipelines, and ontology models to support operational reporting, analytics, and AI initiatives. You will collaborate with data engineers, architects, scientists, and stakeholders, implement data quality and governance, and contribute to cloud-based modernization while supporting Agile workflows.

This role requires a Bachelor's in CS/IS/Engineering or related field, 2+ years with