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Industrial Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across ...

Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... Data Engineer -- required WORK MODEL Houston-based / client-facing About Frame Frame Data & AI is a Houston-based data and AI consulting firm serving energy, industrial, and other complex operating ...

Demonstrable experience (5+ years) in a Industrial Analytics/Data Engineering role - ideally come from a regulated environment, such as Medical Devices, Pharma, Life Sciences, MedTech or BioTech

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Data Engineer ... industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data ...

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data ...

Role: Data Engineer Location: Grand-Prairie, Texas 75050 (Hybrid) Fulltime Salary=$160k/Annum ... industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

DATA ENGINEER III CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT ONSITE 5 DAYS A ... Domain experience in Oil & Gas midstream operations or industrial IoT/time-series data.

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data ...

Data Engineer

Sherman, TX · On-site

$120 - $160/hr

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data ...

Data Engineer

Dallas, TX · On-site

$110 - $170/hr

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data ...

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Manufacturing Data Architect

Dallas, TX · On-site

$180K - $220K/yr

Demonstrable experience (5+ years) in a Industrial Analytics/Data Engineering role - ideally come from a regulated environment, such as Medical Devices, Pharma, Life Sciences, MedTech or BioTech

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data ...

Data Engineer

Grand Prairie, TX · On-site

$109K - $131K/yr

Data Engineer Location: Grand-Prairie, Texas 75050 Work Model: Onsite (4 days a week work from ... ERP. * Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

Agentic Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

The Role The Agentic Data Engineer is a preeminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from ...

Data Platform & Engineering Senior Manager

Houston, TX · On-site

$64.25 - $86/hr

Define enterprise patterns for operational and industrial data acquisition, contextualization ... Establish engineering practices for source control, peer review, automated testing, data ...

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Agentic Data Engineer

Austin, TX · On-site

$248 - $315/hr

The Agentic Data Engineer is a pre‐eminent technical expert who designs, builds, and scales industrial-grade data and AI platforms that power vehicle product engineering all the way from Design ...

... Engineer to help deliver trusted data products and platform capabilities for our refinery and ... Ingest and process data from industrial and enterprise source systems, including PI-related data ...

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Industrial Data Engineer information

What is an industrial data engineer?

An Industrial Data Engineer is a professional who designs, develops, and maintains data systems specifically for industrial environments such as manufacturing plants, utilities, or supply chains. They focus on collecting, processing, and analyzing data from industrial equipment and processes to optimize performance, improve efficiency, and support decision-making. Their work often involves integrating data from sensors, control systems, and enterprise platforms, ensuring data quality, and enabling advanced analytics such as predictive maintenance and process optimization.

How does an industrial data engineer typically collaborate with operations and maintenance teams on data-driven projects?

Industrial Data Engineers frequently work closely with operations and maintenance teams to understand equipment performance, process flows, and areas for efficiency improvement. They gather requirements from these teams, design data collection systems, and translate operational challenges into actionable data solutions. Regular communication ensures that the data pipelines and analytics they develop are practical and directly support production goals. This collaboration not only improves asset reliability and process optimization but also helps data engineers gain valuable domain knowledge to drive impactful insights.

What are the key skills and qualifications needed to thrive as an industrial data engineer, and why are they important?

To thrive as an Industrial Data Engineer, you need strong expertise in data engineering, industrial automation, and programming languages such as Python or SQL, usually supported by a degree in engineering, computer science, or a related field. Familiarity with industrial IoT systems, SCADA, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Azure Data Engineer are typically required. Excellent problem-solving, communication, and teamwork skills help you work effectively with multidisciplinary teams and stakeholders. These skills are essential for designing robust data pipelines and analytics solutions that optimize manufacturing processes and drive operational efficiency.

What is the difference between Industrial Data Engineer vs Data Analyst?

AspectIndustrial Data EngineerData Analyst
CredentialsBachelor's in Engineering, Computer Science, or related field; certifications in data engineering or cloud platformsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentIndustrial settings, manufacturing plants, or data centersOffice environments, corporate or business settings
Industry UsageManufacturing, energy, logistics, and industrial sectors

Industrial Data Engineers focus on designing and maintaining data infrastructure for industrial processes, integrating sensor data, and optimizing manufacturing operations. Data Analysts interpret data to generate reports and insights for business decisions. While both roles handle data, Industrial Data Engineers build the systems that Data Analysts use to analyze industrial data effectively.

What cities in Texas are hiring for Industrial Data Engineer jobs?

Cities in Texas with the most Industrial Data Engineer job openings:

Infographic showing various Industrial Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Ascentt

Plano, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 21 days ago


Job description

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and building next-generation data platforms, Ascentt offers an exciting opportunity to create real-world impact at scale.
We are looking for a passionate and highly motivated Data Engineer to join our growing data team. In this role, you will work on building scalable data platforms, optimizing large-scale data pipelines, and enabling data-driven decision-making across the organization. You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop modern cloud-based data solutions using technologies such as Databricks, Snowflake, PySpark, SQL, and Python. If you enjoy solving complex data challenges and working in a fast-paced, innovative environment, we'd love to connect with you.
Key Responsibilities:
  • Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data
  • Develop high-performance data processing solutions using PySpark and distributed computing frameworks
  • Build, optimize, and manage data platforms on Databricks and/or Snowflake
  • Write clean, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analytics
  • Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutions
  • Ensure data quality, governance, integrity, scalability, and reliability across enterprise data systems
  • Monitor, troubleshoot, and optimize existing pipelines, workflows, and database performance
  • Implement best practices around coding standards, testing, CI/CD, version control, and technical documentation

Required Skills & Qualifications:
  • 2-5 years of experience in Data Engineering or related roles
  • Strong hands-on experience with Databricks and/or Snowflake
  • Proficiency in SQL and Python programming
  • Practical experience with PySpark and distributed data processing
  • Solid understanding of Data Warehousing, ETL/ELT concepts, and Data Modeling
  • Experience working with large-scale datasets in cloud-based environments
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field

Preferred Skills:
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Familiarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)
  • Knowledge of Git, CI/CD pipelines, and DevOps best practices
  • Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processing
  • Experience working in Agile/Scrum environments is a plus