Remote Foundry Data Engineer for DoD Data Products

IntelliTech LLC; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Competitive salary

Dental insurance

Flexible schedule

Health insurance

Opportunity for advancement

Paid time off

Training & development

Vision insurance

Job summary

IntelliTech LLC is seeking a Forward Deployed Engineer to build authoritative data products supporting DoW acquisition and program operations. You will own data pipelines, data models, and ontology within Palantir Foundry, and collaborate with Government stakeholders, engineers, and designers to deliver decision-ready data products.

This is a senior individual-contributor role on a lean team. An active Secret clearance is required at hire, and the position is remote.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline, or equivalent practical experience.
• Five or more years of experience building production data systems.
• Strong hands-on proficiency with Python and SQL, and with modern data-engineering patterns including ETL/ELT design, incremental processing, and orchestration.
• Experience designing data pipelines and data products on Palantir Foundry, Army Vantage, WDP/Advana, MSS, Databricks, or a comparable enterprise data platform.
• Experience with data modeling, ontology or semantic layers, data quality frameworks, and lineage.
• Strong software-engineering fundamentals, including testing, source control, CI/CD, and monitoring.
• Experience supporting a Department of Defense or federal Government customer.
• Active Secret clearance. U.S. citizenship required.
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders in mission environments.

Responsibilities

• Own the architecture and implementation of scalable data pipelines and data products within Palantir Foundry.
• Integrate and transform data from multiple DoW and enterprise source systems, including acquisition, program management, contracting, financial, and logistics data.
• Build production transforms in Python, PySpark, and SQL using Pipeline Builder and Code Repositories, structured across raw, cleaned, and curated layers.
• Design scheduled and incremental builds that keep data products current without reprocessing full history.
• Preserve raw source data with metadata capture for source system, ingest timestamp, and dataset version so every product is reproducible.
• Develop and maintain the Foundry ontology — object types, link types, properties, and actions — that supports applications, reporting, and analysis.
• Model authoritative entities and reconcile conflicting identifiers and definitions across DoW source systems.
• Work with Government data stewards to establish semantic definitions, data dictionaries, and agreed business rules.
• Build the consumption layer analysts work in, including Workshop applications, Contour analyses, and Foundry API access for downstream tools.
• Design for data quality up front: schema conformance, referential integrity across linked datasets, and business-rule validation with actionable row- and column-level feedback.

Job description

IntelliTech LLC is seeking a Forward Deployed Engineer to build authoritative data products supporting DoW acquisition and program operations. You will own data pipelines, data models, and ontology within Palantir Foundry, and collaborate with Government stakeholders, engineers, and designers to deliver decision-ready data products.

This is a senior individual-contributor role on a lean team. An active Secret clearance is required at hire, and the position is remote.