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Data Engineering Jobs in Tyler, TX (NOW HIRING)

Support data engineers in the implementation of physical data structures. Tool Utilization & Modeling Platform Expertise * Use leading data modeling tools to manage data models and metadata.

Support data engineers in the implementation of physical data structures. Tool Utilization & Modeling Platform Expertise * Use leading data modeling tools to manage data models and metadata.

New

Deliver services by accurately, interpreting and executing Methods of Procedure (MoPs), engineering ... working in data center operations or a similar technical environment with direct customer ...

Engineer

Tyler, TX ยท On-site

Prepare cost-effective projects, packaged equipment specifications, data sheets, and Requests for Qualifications using good engineering practices. * Effectively manage projects while maintaining work ...

Engineering Co-Op

Tyler, TX ยท On-site

$22.50 - $31/hr

Product Engineering Co-Op: * Cultivate untapped value of our product through an analysis of large ... data. * Improve current design or product base on design for manufacturability * Lead cross ...

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

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Showing results 1-20

Data Engineering information

See Tyler, TX salary details

$43.3K

$155.5K

$229.5K

How much do data engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineering in Tyler, TX is $155,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $160,200.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Tyler, TX?

The most popular types of Data Engineering jobs in Tyler, TX are:

What are popular job titles related to Data Engineering jobs in Tyler, TX?

For Data Engineering jobs in Tyler, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Tyler, TX look for?

The top searched job categories for Data Engineering jobs in Tyler, TX are:

What cities near Tyler, TX are hiring for Data Engineering jobs?

Cities near Tyler, TX with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Tyler, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $155,501 per year, or $74.8 per hour.

Data Engineer

Kilgore, TX โ€ข On-site

Education Service Center Region 13
Educationย โ€ขย 201 - 500 employees

$82K/yr

Other

Posted 11 days ago


Job description

  • Position Type:
    Technology and Creative Development/ Data/System Analyst II
  • Date Posted:
    8/3/2026
  • Location:
    Education Service Center Region 13 - 200
Reports To

IT Infrastructure and Services Coordinator

Salary

This is a full-time, 12-month position at 232-days with a minimum annual salary of $82,572.

Summary

Design, develop, and maintain the data pipelines, integration patterns, and data structures that support ESC Region 13 reporting, interoperability, software platforms, and artificial intelligence initiatives. Provide technical expertise in data integration, data quality, metadata, dashboards, and analytics enablement to support both internal decision making and external project delivery.

This position plays a central role in the Data Task Force initiative by helping create the data lake foundation, reducing data silos, and improving the quality and accessibility of information across systems. The role also supports district and project-based solutions such as Pulse, CIS NAV, dashboards, reporting tools, and future data and AI service offerings.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field
  • Two years of experience in data integration, data engineering, business intelligence, analytics, or systems analysis
  • Experience with SQL, data transformation, and structured data management
  • Experience working with data from multiple source systems and supporting reporting or analytics needs
  • Ability to document data flows, troubleshoot data issues, and support technical solutions in a production environment
Preferred Qualifications
  • Experience building ETL or ELT pipelines and working with cloud-based data platforms
  • Experience with Python, Power BI, APIs, dashboard development, or automation tools
  • Experience with data governance, metadata management, and data quality monitoring
  • Experience supporting public sector, education, or student information system environments
  • Experience with AI related data preparation, interoperability initiatives, or application support
  • Certifications or training related to data analytics, cloud data services, Power BI, SQL, or related tools
Knowledge and Skills

Data Engineering and Integration

  • Strong understanding of data extraction, transformation, loading, data modeling, and relational data structures
  • Ability to build and maintain pipelines that connect multiple systems and reduce reporting silos
  • Familiarity with APIs, data exchange patterns, and interoperability concepts
  • Knowledge of cloud platforms including Microsoft Azure and AWS.
  • Experience administering Windows Server and Linux server environments.

Analytics and Reporting Support

  • Skilled in SQL and dashboard support for operational and executive reporting
  • Ability to organize data in ways that support reliable analytics, performance measurement, and decision intelligence
  • Knowledge of data quality controls, validation methods, and reconciliation practices

Governance and AI Enablement

  • Understanding of data governance, metadata discipline, and the importance of trusted datasets for responsible AI use
  • Ability to support data structures that enable reporting, software platforms, automation, and AI related workflows

Collaboration and Communication

  • Strong ability to work across departments, technical teams, and project groups to translate operational needs into data solutions
  • Strong documentation, problem solving, and customer service skills
  • Ability to manage multiple concurrent technical projects.
Major Responsibilities
  • Design, build, and maintain data pipelines, integration workflows, and transformation processes across Region 13 systems
  • Support the development of a data lake and related data architecture for the Data Task Force initiative
  • Improve interoperability and reduce data silos by connecting operational systems and standardizing data structures
  • Support dashboards, analytics, and recurring reporting for leadership and program teams
  • Maintain documentation of data sources, flows, business rules, and transformation logic
  • Support data quality validation, reconciliation, and troubleshooting activities
  • Collaborate with developers, infrastructure staff, and program teams to support Pulse, CIS NAV, dashboards, and related software initiatives
  • Contribute to AI enablement by preparing governed and structured data for automation, analytics, and intelligent tools
  • Support external or district facing initiatives that depend on analytics, interoperability, dashboard development, or data driven applications
  • Promote continuous improvement in data management, reporting reliability, and technical documentation

Perform other duties as assigned

Supervisory Responsibilities

May provide technical guidance and coordination to project teams, vendors, or temporary support personnel as assigned

Budget Responsibilities

None

Working Conditions
  • Must be able to work in a fast-paced environment with multiple competing priorities
  • Indoor office environment with some remote work flexibility
  • Occasional evening or weekend work may be required for data loads, system maintenance, or project deadlines

Some travel within the region may be required for project support, stakeholder meetings, or district coordination

Equipment Used
  • Computer, peripherals, and general office equipment
  • Database tools, reporting platforms, data integration tools, scripting tools, and collaboration systems
  • Cloud data services, dashboard tools, and software development or support platforms
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Education Service Center Region 13 logo

About Education Service Center Region 13

Sourced by ZipRecruiter

Education Service Center Region 13 (ESC Region 13) is based in Austin, TX, US and operates within the Education industry. As per the information from their official website, esc13.net, ESC Region 13 is a significant participant in the Texas public education sector since its establishment in 1967. This company provides services and products that improve educational outcomes. These interventions and tools are designed to boost teaching efficiency and learner outcomes. Their overarching mission is to inspire and empower educators to promote positive change that yields successful learners. One of the company's most notable accomplishments is their influence and contribution to the development of innovative curriculum resources that are now employed across the state of Texas.

Industry

Education

Company size

201 - 500 Employees

Headquarters location

Austin, TX, US

Year founded

1967