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Data Foundry Jobs in Texas (NOW HIRING)

Provide data to resolve customer issues and improve foundry practices. * Utilize CAD (e.g., Creo, Solidworks) for design and modeling. Skills/Experience Required: * Bachelor's degree in an ...

Provide data to define and resolve customer issues * Utilize top-of-the-line technologies to improve foundry practice * Must have experience utilizing CAD Creo, Solidworks or similar design and ...

Provide data to define and resolve customer issues * Utilize top-of-the-line technologies to improve foundry practice * Must have experience utilizing CAD Creo, Solidworks or similar design and ...

Palantir Foundry -- Admin Experience with Foundry workspace management, permissions, projects, roles, groups, and data security models. Ability to manage multi-environment (Dev/QA/Prod) promotion ...

New

Foundry Software Architect

Austin, TX · On-site

$120 - $160/hr

Experience with data modeling, ontology mapping, or data visualization within Foundry. * Experience with Git-based code repositories and CI/CD workflows. * Experience with Product Lifecycle ...

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Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

Use asynchronous Python for high-volume data processing * Automate tasks, create alerts, and build ... Azure AI Foundry and Azure OpenAI exposure * Experience with LangChain, LangGraph, or similar ...

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Data Foundry information

See Texas salary details

$8

$24

$61

How much do data foundry jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data foundry in Texas is $24.37, according to ZipRecruiter salary data. Most workers in this role earn between $13.11 and $30.44 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.
What cities in Texas are hiring for Data Foundry jobs? Cities in Texas with the most Data Foundry job openings:
Infographic showing various Data Foundry job openings in Texas as of August 2026, with employment types broken down into 49% Full Time, 17% Part Time, 17% Contract, and 17% Nights. Highlights an 100% In-person job distribution, with an average salary of $50,684 per year, or $24.4 per hour.

Palantir Foundry Data Engineer (DS L3)

T3i, Inc.

San Antonio, TX

Full-time, Part-time, Contractor

Re-posted 18 days ago


Job description

Job Summary: The Palantir Foundry Data Engineer serves as the senior technical integrator for the customer’s data ecosystem. This role leads the development of data pipelines, Foundry objects, ontology modeling, and immersive operational dashboards using Palantir Foundry (Envision). The Data Engineer translates operational, training, and human performance data into decision-ready products that enable leadership to forecast performance trends, identify risk factors, and improve training pipeline outcomes. The Data Engineer also coaches junior analysts and ensures analytic repeatability, transparency, and governance across the data environment.
Primary Responsibilities:
  • Design, build, and maintain scalable data pipelines and workflows across multiple DoW systems of record and internal databases
  • Develop Palantir Foundry ontology layers that unify student performance, training progression, attrition, wearable data, and status tracking
  • Construct and maintain Envision and Foundry-based dashboards that provide immersive insights to commanders and staff
  • Implement version-controlled model workflows, transformation logic, and entity mapping to support predictive analytics and operational reporting
  • Lead data validation, security, access control, and QA processes to ensure decision-ready data across enterprise
  • Advise and mentor Data Specialists on data modeling, dashboard development, and workflow optimization using Palantir’s Foundry platform
  • Collaborate directly with government leadership to refine requirements, validate tools, and ensure alignment with mission objectives
  • Contribute to Initial Analysis, POAM development, and annual Program Management Reviews (PMRs) with technical insight and recommendations
Minimum Qualifications:
  • Master’s degree in Data Science, Computer Science, Operations Research, Statistics, Engineering, or related field
  • 5+ years of experience developing analytics pipelines and visualizations in Palantir Foundry / Envision for AETC, DoW, or similar enterprise
  • Advanced proficiency in SQL and Python; familiarity with Spark or PySpark preferred
  • Proficiency using Power BI
  • Demonstrated experience designing and deploying multi-layered data workflows and semantic models
  • Ability to interface with both senior leadership and technical teams
Preferred Qualifications:
  • Familiarity with Air Force training pipelines, the Air Force, or SOCOM training environments
  • Experience integrating wearable, Human Performance, medical, or training performance datasets
  • Prior military service or direct embedded support experience
Required Background Check: HireRight background check amp; drug screening
Type of Employment: Full-time
T3i Drug Free Workplace Statement: As a Federal Government Contractor, T3i is required to strictly adhere to federally mandated drug-free workplace standards. To ensure compliance with this requirement, T3i conducts pre-employment drug screening for all new hire personnel (full time, part time, and independent contractor) and annual random drug screening for all current T3i personnel. All drug screening includes testing for the following drugs, at a minimum: Marijuana (CBD, hemp oil, and other cannabidiol use may result in a positive result), cocaine, amphetamines, opiates, 6-monoacetylmorphine, and PCP. Personnel who cannot pass drug screening are not eligible for employment with T3i.

T3i logo

About T3i

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2014