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Data Engineer Jobs in Texas (NOW HIRING)

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

AMB Sports & Entertainment

Data Engineer

Mercedes, TX · On-site

$107K - $129K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

INSPYR Solutions

Data Engineer

Fort Worth, TX · On-site

$45 - $50/hr

Data Engineer (Contract - Hybrid) Location: Irving, TX (Hybrid - 3 days onsite) Pay: $45-$50/hour Duration: Contract Work Authorization: , or Authorized to Work in the U.S. Position Overview Seeking ...

Addison Group

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental, Vision, 401(k) We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will ...

Addison Group

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental, Vision, 401(k) We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will ...

General Motors

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability ...

XTG

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Data Engineer Department : Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible ...

Lorven Technologies

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer Location: Plano, TX (Onsite) looking for an experienced Data Engineer to build and maintain scalable data pipelines and analytics solutions leveraging AWS services such as Athena ...

Bright Mind Solutions LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This is a hands-on engineering role with a focus on data modeling, transformation, and scalability. Key Responsibilities * Design, implement, and maintain robust ETL/ELT pipelines to ingest and ...

NTT DATA Services

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data systems and enabling highquality analytics, machine learning, and business intelligence. In this role ...

K&L Gates

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Key Responsibilities 1. Data Engineering & Pipeline Development * Design, develop, and maintain data pipelines using Microsoft Fabric Data Factory for data ingestion, transformation, and ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Data Engineer Department : Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible ...

ADDSOURCE

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Senior Data Engineer Location: Irving, TX, Only Locals Work Model: Hybrid 3 Days Onsite per Week Experience: Min 10 Years We are looking for a Data Engineer with strong expertise in Databricks ...

NTT DATA Services

Data Engineer - Hybrid

Irving, TX · On-site

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data systems and enabling high-quality analytics, machine learning, and business intelligence. In this role ...

Kyndryl

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 47 Years Mandatory Certification: * Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key ...

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All JobsData Engineer JobsData Engineer Jobs in Texas

Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What are popular job titles related to Data Engineer jobs in Texas? For Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Texas look for? The top searched job categories for Data Engineer jobs in Texas are:
What cities in Texas are hiring for Data Engineer jobs? Cities in Texas with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in TX? For Data Engineer jobs in TX, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Texas as of June 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Engineer

Data Engineer

Alliance Credit Union

Lubbock, TX • On-site

$78K - $90K/yr

Full-time

Posted 16 days ago

Job description

ALLIANCE is building a Data and Development Department to leverage Big Data and predictive analytics to strengthen our world-class analytics capabilities and deliver exceptional financial services to our members. The Data Engineer II plays an advanced individual contributor role in supporting these efforts by designing, building, and maintaining scalable data systems and developing software and tools that enable analytics, data science, and business intelligence across the organization.

This role contributes to the exploration, processing, and delivery of large and complex datasets, supporting both batch and real-time data use cases. Leveraging modern data platforms, engineering practices, and software development techniques, the Data Engineer II works closely with data scientists, analysts, software engineers, and DevOps to ensure data and analytical tooling are reliable, accessible, and well-structured for advanced analytics and machine learning initiatives.

In addition to hands-on technical contributions, the Data Engineer II provides guidance and mentorship to Software Developers, Software Engineer I’s, and Data Engineer I’s by sharing best practices in data engineering and software development, supporting design discussions, and helping elevate engineering standards. This role supports the organization’s ability to identify trends, uncover insights, and drive innovation through data while continuously improving data platforms, tools, and processes.

Role

You will be responsible for designing, developing, and maintaining scalable data infrastructure and software tools that support the collection, storage, processing, and analysis of data. You will work closely with data scientists, analysts, software engineers, and other stakeholders to ensure data and analytical tooling are accessible, reliable, and ready for use across a wide range of applications, including analytics platforms, APIs, and CRM systems.

In this role, you will also provide guidance and support to Software Developers, Software Engineer I’s, and Data Engineer I’s by sharing best practices, reviewing designs, and contributing to the continuous improvement of data engineering and software development standards.