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Data Foundry Jobs (NOW HIRING)

Privia Health

Sr. Director, Software & Data Engineering

$187K - $220K/yr

End to end delivery of multi-domain Privia Data Foundry, Reporting, Dashboards and Analytics with a cloud native architecture and lead AI initiatives * Establish engineering excellence metrics, agile ...

Telus Digital

$168K - $210K/yr

The Opportunity As Senior Director, Client Accounts for our AI Data Foundry practice, you will lead a high-performing team of Client Account Partners aligned to some of the most influential ...

Saransh Inc

Palantir Foundry

Reading, PA · On-site

$16.50 - $21.25/hr

Job Title: Palantir Foundry Work Location: Reading, PA Duration: Long Term Mandatory Skills ... Data Transformation (Code Repository & Pipeline Builder), analysis (Contour and Quiver ...

Intel

Foundry Customer Yield Engineer

Phoenix, AZ · On-site

Conduct comprehensive baseline data analysis across multiple test sockets to identify and prioritize yield improvement opportunities for Intel and foundry products * Develop sophisticated yield ...

IT America Inc

Palantir Foundry Engineer

Nashville, TN · On-site

Palantir Foundry Engineer Location: Nashville, TN Duration: 6 Months Role Summary: Hands-on Foundry ... Ontology & Data Product Design: Model Object Types, relationships, and semantics; enforce schema ...

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How much do data foundry jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for data foundry in the United States is $27.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $34.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer at a data foundry, and why are they important?

To thrive as a Data Engineer at a data foundry, you need a strong background in computer science, data modeling, and database management, often supported by a relevant degree or certification. Proficiency in tools and systems such as SQL, Python, ETL frameworks, big data platforms (Hadoop, Spark), and cloud services (AWS, Azure) is crucial. Strong problem-solving skills, attention to detail, and effective communication distinguish top performers in this role. These competencies enable the reliable extraction, transformation, and delivery of high-quality data that powers organizational analytics and decision-making.

How does a Data Foundry professional typically collaborate with data engineers and analysts within an organization?

A Data Foundry professional plays a central role in facilitating smooth data operations by acting as a bridge between data engineers, who build and maintain data infrastructure, and data analysts, who interpret and use data for decision-making. They often coordinate data ingestion, ensure data quality, and manage data pipelines so that analysts can access accurate and timely information. Regular cross-functional meetings, documentation, and use of collaborative tools are common practices to align goals and resolve any data-related challenges. This teamwork ensures that data flows seamlessly from its source to actionable insights.

What is the difference between Data Foundry vs Data Engineer?

AspectData FoundryData Engineer
CredentialsTypically requires data management certifications, database knowledge, and sometimes cloud platform certificationsRequires similar credentials such as SQL, Python, cloud certifications, and data modeling expertise
Work EnvironmentOften involves working with data infrastructure, data pipelines, and cloud platforms in data-centric organizationsWorks on designing, building, and maintaining data pipelines and architectures in various industries
Industry UsageCommonly used in data management, cloud services, and data infrastructure companiesWidely used across tech, finance, healthcare, and other data-driven sectors

Data Foundry and Data Engineer roles share overlapping skills in data management and cloud platforms. While Data Foundry often emphasizes data infrastructure setup and cloud data services, Data Engineers focus on building and maintaining data pipelines and architectures. Both roles are essential in data-driven organizations, with similar credentials and work environments, making them closely related but distinct in their specific focus areas.

What is a Data Foundry?

A Data Foundry is an organization or platform that provides secure data storage, management, and processing services, often for enterprises or research institutions. These facilities offer robust infrastructure, including data centers, networking, and cloud services, to support large-scale data operations. Data Foundries help organizations manage data lifecycle needs, ensure data security, and enable efficient data sharing and analysis. They play a critical role in supporting digital transformation and big data initiatives.
More about Data Foundry jobs
What cities are hiring for Data Foundry jobs? Cities with the most Data Foundry job openings:
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Data Foundry jobs near you
Infographic showing various Data Foundry job openings in the United States as of May 2026, with employment types broken down into 25% Full Time, 13% Part Time, 13% Temporary, 36% Contract, and 13% Nights. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $57,633 per year, or $27.7 per hour.

Data Engineer (Palantir Foundry)

Prophecy Technologies

Dublin, OH • On-site

Full-time

Posted 10 days ago

Job description

Job summary:
We are seeking two US-based senior-level software or data engineers to support application development and data engineering initiatives using Palantir Foundry. The role focuses on transforming data and building application dashboards using Foundry's low-code tools. Candidates should be independent, proactive, and capable of handling high-level initiatives with minimal supervision while collaborating closely with cross-functional teams.
Key responsibilities:
  • Develop applications and data pipelines using Palantir Foundry low-code tools.
  • Build and manage semantic layers using Ontology Manager.
  • Design and implement data workflows using Pipeline Builder.
  • Create application dashboards and user-facing solutions using Workshop.
  • Transform and integrate data to support analytics and application use cases.
  • Execute high-level initiatives based on defined outcomes and acceptance criteria.
  • Participate in discovery, delivery, and clarification of requirements.
  • Collaborate with team members while working independently on assigned deliverables.
  • Follow established team best practices and contribute to continuous improvement.

Required skills & experience:
  • Senior-level experience as a software engineer or data engineer.
  • Hands-on experience with Palantir Foundry (preferred).
  • Strong background in data engineering and application development.
  • Experience building dashboards and data-driven applications.
  • Ability to work independently with minimal oversight.
  • Strong problem-solving and analytical skills.
  • Excellent communication skills and proactive approach to clarification.

Competencies:
  • Digital application development
  • Data engineering and data transformation
  • Analytical thinking and solution design
  • Collaboration and stakeholder communication

Preferred skills:
  • Prior experience working with Foundry Ontology Manager, Pipeline Builder, and Workshop.
  • Experience with low-code or no-code analytics platforms.
  • Experience working on complex data platforms and enterprise-scale solutions.

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