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Data Foundry Jobs in Texas (NOW HIRING)

Gandiva Insights

Data Engineer - Palantir Must

Dallas, TX · On-site

$113K - $136K/yr

Role : Senior Data Engineer - Palantir Certification Must location : 100% Remote Duration ... Proven hands-on experience with Palantir Foundry -- Pipeline Builder, Ontology, Contour, Code ...

Foundry Commercial

Associate, Brokerage

Dallas, TX · On-site

Foundry Commercial was created to be a different kind of real estate company. Our motto - "It ... Market Analysis & Research * Assist in collecting and interpreting real estate market data ...

Foundry Commercial

Associate, Brokerage

Dallas, TX · On-site

Foundry Commercial was created to be a different kind of real estate company. Our motto - "It ... Market Analysis & Research * Assist in collecting and interpreting real estate market data ...

BravoTech

Lead Palantir Data Engineer

Dallas, TX · On-site

$96K - $126K/yr

Lead technical design reviews and architecture decisions across Foundry applications, pipelines, ontology objects, and data products. * Assess business requirements, epics, and user stories and ...

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All JobsData Foundry JobsData Foundry Jobs in Texas

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 are popular job titles related to Data Foundry jobs in Texas? For Data Foundry jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Foundry jobs in Texas look for? The top searched job categories for Data Foundry jobs in Texas are:
What cities in Texas are hiring for Data Foundry jobs? Cities in Texas with the most Data Foundry job openings:
Data Foundry jobs near you
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.

Manager of Data and Analytics

Kinder Morgan

Houston, TX • On-site

Full-time

Posted 18 days ago

Kinder Morgan rating

8.6

Company rating: 8.6 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

11th of 53 rated energy and utility

Job description

What We Are Looking For
Overview: The Manager of Data and Analytics will lead a team responsible for designing, enhancing, integrating, and maintaining enterprise IT platforms that support Business Intelligence (BI), Artificial Intelligence/Machine Learning (AI/ML), and reporting capabilities, leveraging the Palantir Foundry platform.
Essential Skills & Competencies
Business Acumen:
  • Understand and evaluate organizational data structures and business processes.

Communication:
  • Strong written and verbal communication skills for interaction with stakeholders at all levels.

Requirements Analysis:
  • Collaborate with subject matter experts to gather requirements, assess data availability, and recommend improvements.

Insight Generation:
  • Translate quantitative and qualitative data into actionable insights aligned with business objectives.

Team Management:
  • Oversee hiring, training, performance management, and resource allocation for the Data and Analytics team.

Partnership Development:
  • Build relationships with external partners to scale analytics capabilities.

Problem Solving & Detail Orientation:
  • Apply strong analytical skills and attention to detail to deliver accurate, high-quality outputs.

Risk Management:
  • Exercise sound judgment in decisions impacting enterprise-wide operations.

What You Will Do
Key Responsibilities
Leadership & Team Development:
Mentor and manage a team of data analysts and developers, fostering a culture of accountability, collaboration, and technical excellence.
Platform Strategy & Development:
Oversee the design, development, and optimization of BI, AI/ML, and reporting solutions using Palantir Foundry.
Integration & Interoperability:
Ensure seamless integration of data across business units to enable unified enterprise analytics and reporting.
Support & Maintenance:
Provide ongoing operational support and maintenance to ensure platform reliability, stability and performance.
System Resiliency:
Collaborate with IT technical teams to identify and address system resiliency requirements.
Business Collaboration:
Partner with business units and IT stakeholders to develop solutions and advise on various opportunities.
Governance & Compliance:
Contribute to the development and improvement of enterprise-wide governance for Palantir Foundry, including data access policies, ontology standards, user provisioning, auditing, and risk mitigation.
Project Delivery:
Drive timely execution of projects aligned with Kinder Morgan's technology strategy and project methodology.
Core Data Management:
Identify and integrate core datasets into BI and AI frameworks to support advanced analytics.
Monitoring & Automation:
Develop automated reporting and monitoring tools to proactively detect and resolve platform issues.
Flexibility & Availability:
Respond to business needs during and outside standard working hours as required.
What You Need
Education:
Bachelor's degree in Business, Computer Engineering, Computer Science, Statistics, or Mathematics.
Technical Expertise:
  • 5+ years of relevant technology experience, including team leadership.
  • Proficiency in front-end tools (Visual Studio C#, Power BI, Palantir Foundry) and back-end ETL/automation (SQL, SSIS, SSAS, Python, PySpark).
  • Knowledge of software development lifecycles and source code management.
  • Advanced Microsoft Office skills.
  • Experience building BI platforms using Microsoft technologies (SQL Server, SSRS, SSAS, SSIS, Power BI).
  • Familiarity with AI/ML programming languages (Python, PySpark, R).
  • Preferred:
  • Experience with Palantir Foundry and AIP.
  • Background in data science.

What Kinder Morgan employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Kinder Morgan

Sourced by ZipRecruiter

Kinder Morgan is moving the fuels of today for the energy of the future. From the natural gas that heats your home to the gasoline that fuels your vehicle, our pipeline and terminal assets provide the necessary infrastructure to meet today's growing global energy demand and play a key role in the low-carbon energy transition of the future.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1997

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