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Data Engineer Jobs in Midland, TX (NOW HIRING)

About this opportunity We are seeking a highly motivated and skilled Data Center Optical Engineer to lead work in customer environments and co-locations. The person in this role is responsible for ...

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Data Analyst

Midland, TX · On-site

$61.60 - $70.84/hr

The Well Servicing Engineering Technician / Data & Reporting Analyst supports well management engineering, operations, and leadership through advanced data management, reporting, and analytics. This ...

Our client, a major Oil and Gas company, is looking for a Data Analyst (Well Servicing Engineering Tech) to work on a 12 months contract in Midland, TX Position Overview The Well Servicing ...

Integration Developer

Midland, TX

$49.25 - $65.50/hr

This role sits at the intersection of data engineering and systems integration - responsible for building and maintaining the technical pipelines, APIs, and automated workflows that power our ...

Integration Developer

Midland, TX · On-site

$49.25 - $65.50/hr

This role sits at the intersection of data engineering and systems integration - responsible for building and maintaining the technical pipelines, APIs, and automated workflows that power our ...

Data Center Operations Manager

Odessa, TX · On-site

$168K/yr

Data Center Operations Manager Infrastructure operations • shared across sites Reports to: VP, ... Coordinate with Field Engineering on installation logistics and site readiness * Manage site-level ...

Data Center Technician Location: Onsite / Travel as Needed (Odessa, TX) At STN , we don't just ... future, we engineer it. Our mission is to help organizations thrive in a rapidly evolving ...

Data Center Operations Manager Infrastructure operations · shared across sites Reports to: VP, ... Coordinate with Field Engineering on installation logistics and site readiness * Manage site-level ...

Data Center Controls Engineer, Midland, TX

Odessa, TX · On-site

$84K - $109K/yr

We support all AWS data centers and all of the servers, storage, networking, power, and cooling ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Data Center Controls Engineer, Midland, TX

Odessa, TX · On-site

$84K - $109K/yr

We support all AWS data centers and all of the servers, storage, networking, power, and cooling ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Data Center Controls Engineer, Midland, TX

Odessa, TX · On-site

$84K - $109K/yr

... data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience - 4+ Yr. Military Service ...

Data Center Controls Engineer, Midland, TX

Odessa, TX · On-site

$84K - $109K/yr

... data centers or critical MEP infrastructure - Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP). - Prior AWS/Amazon experience - 4+ Yr. Military Service ...

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Data Engineer information

See Midland, TX salary details

$43.7K

$127.4K

$174.3K

How much do data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer in Midland, TX is $127,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What job categories do people searching Data Engineer jobs in Midland, TX look for?

The top searched job categories for Data Engineer jobs in Midland, TX are:

What cities near Midland, TX are hiring for Data Engineer jobs?

Cities near Midland, TX with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Midland, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,354 per year, or $61.2 per hour.

Data Center Technician/ Field Engineer

Odessa, TX • On-site

STN, Inc
IT Services • 11 - 50 employees

Full-time

Posted 9 days ago


Job description

Data Center Technician/ Field Engineer
Implementation and delivery • shared across sites
Reports to: Director, Field Operations
Location: (Odessa, TX); travel up to 50%
Department: Infrastructure & DC Operations / Data Center Operations
Position summary
The Field Engineer performs onsite installation, rack-and-stack, cabling, and acceptance testing of GPU infrastructure at STN data center and modular data center sites. The role is hands-on, site-based, and central to STN's ability to deliver clusters on schedule.
Key responsibilities
  • Lead rack-and-stack of GPU servers, switches, and storage at colocation and modular data center sites
  • Cable compute, storage, and high-speed networking (InfiniBand and high-speed Ethernet) per the approved design
  • Power on, configure BMC/iLO/iDRAC, and execute firmware/BIOS bring-up
  • Run burn-in tests including memory, GPU stress, NCCL, and benchmark sweeps
  • Coordinate with NOC and Platform Engineering on cluster bring-up and acceptance
  • Execute customer acceptance testing (CAT) procedures and document results
  • Maintain asset records, cable maps, rack elevations, and DCIM documentation
  • Troubleshoot hardware, power, and physical-layer issues
  • Manage RMA execution on site including swap-out, diagnostics, and return paperwork
  • Travel to assigned data center sites including the Odessa, TX modular data center buildout
Required qualifications
  • 4+ years in data center field engineering, deployment engineering, or systems integration
  • Strong hands-on hardware experience with servers, top-of-rack switches, and storage
  • Proficiency with structured cabling, power distribution, and DCIM tools
  • Willingness and ability to travel up to 50%
  • Ability to lift up to 50 lbs and work standing or in confined spaces in a data center environment
Preferred qualifications
  • NVIDIA HGX or DGX deployment experience
  • InfiniBand or 400G/800G Ethernet cabling experience
  • CDCP, BICSI, or equivalent certification
  • Experience with modular data center (MDC) deployments