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Data Automation Engineer Jobs in Texas (NOW HIRING)

BravoTech

Data Quality Automation Engineer

Dallas, TX · On-site

Data Quality Automation Engineer Location: Hybrid About the Role We are seeking a Data Quality Automation Engineer to build and scale automated data quality solutions that ensure the accuracy ...

INSPYR Solutions

Automation Engineer

Georgetown, TX · On-site

$130K/yr

Automation Engineer Location: Georgetown, TX Employment Type: Direct Hire Salary: $130,000 Work ... Experience with predictive maintenance and data-driven manufacturing optimization * Familiarity ...

Borusan Mannesman

Automation Engineer

Baytown, TX · On-site

The Automation Engineer is a hands-on, plant-based engineering role responsible for supporting ... data collection and performance analysis of manufacturing systems 2.4. Leadership & Team ...

Flex Ltd.

Automation Engineer

Austin, TX · On-site

Design, engineer, and modify existing and new moderately-complex automation equipment, tooling and ... Project review required to show effectiveness of project implementation through data driven KPIs ...

Flex

Automation Engineer

Austin, TX · On-site

... Automation engineer located in Austin, TX. Reporting to the Process Engineering Manager the ... Project reviewrequiredto show effectiveness of project implementation through data driven KPIs ...

AST SpaceMobile

Automation Engineer

Dallas, TX · On-site

The Automation Engineer will work closely with development, integration, and service enablement ... Experience with data analysis tools for test results and telemetry evaluation * Exposure to CI/CD ...

Astrix Inc

Automation Engineer II

Fort Worth, TX · On-site

Automation Engineer II Contract: 1 year contract with extension or conversion potential Pay: 50.00 ... Strong understanding of manufacturing automation, machine data collection, and MES concepts

cdiegc

Automation Engineer

Humble, TX

... data from machine to machine within the manufacturing process. The Automation Engineer must be able to write software that takes up positional information, manipulate this information as required ...

Tech Tammina

Automation Engineer

Plano, TX · On-site

Company Description Automation Engineer Location: Plano TX (Local or Nearby) Duration : 6 Months ... Experience automating analytics and data comparison test suites highly preferable. Experience in ...

Tech Tammina

Automation Engineer

Plano, TX · Hybrid

Automation Engineer Location: Plano TX (Local or Nearby) Duration : 6 Months Mode of Hire: W2 ... Experience automating analytics and data comparison test suites highly preferable. Experience in ...

Amicis Global

Automation Engineer

Plano, TX · On-site

Automation Test Engineer Location: Ridley Park, PA/ Hazelwood, MO/ Plano, TX Duration: 6+ Months ... data-driven test suites • Develop robust scripts to validate functionality, reliability, and ...

AIG

SDN Automation Engineer

Houston, TX

SDN Automation Engineer The SDN Automation Engineer will be responsible for designing, deploying ... Design, configure and maintain SDN solutions and associated infrastructures across data centers and ...

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All JobsData Automation Engineer JobsData Automation Engineer Jobs in Texas

Data Automation Engineer information

See Texas salary details

$34.5K

$99.8K

$151.9K

How much do data automation engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data automation engineer in Texas is $99,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $115,100.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise is crucial for integrating AI tools effectively. The role continues to evolve, emphasizing skills in cloud platforms, programming, and data architecture.

What are some typical challenges a Data Automation Engineer faces when integrating new automation tools into existing data pipelines?

Data Automation Engineers often encounter challenges related to compatibility and scalability when introducing new automation tools to established data pipelines. Legacy systems may have limitations that require creative solutions to ensure seamless integration without disrupting ongoing processes. Additionally, maintaining data quality and consistency during transitions is critical, as is collaborating with cross-functional teams—such as data analysts, IT, and software developers—to align on requirements and troubleshoot issues. Proactive communication and thorough documentation can help overcome these challenges and ensure successful automation implementation.

What are Data Automation Engineers?

Data Automation Engineers are professionals who design, develop, and maintain automated systems to collect, process, and analyze data. They use programming, scripting, and various data tools to streamline data workflows, reduce manual intervention, and improve efficiency. Their work often involves building data pipelines, integrating data from multiple sources, and ensuring data quality and reliability. By automating repetitive data tasks, they help organizations make faster, data-driven decisions. Data Automation Engineers typically collaborate with data analysts, data scientists, and IT teams to support business objectives.

What are the key skills and qualifications needed to thrive as a Data Automation Engineer, and why are they important?

To thrive as a Data Automation Engineer, you need strong skills in programming (such as Python or Java), data integration, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, automation frameworks (like Apache Airflow), and cloud platforms (such as AWS or Azure) is also essential, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are key soft skills for identifying automation opportunities and collaborating across teams. These skills are crucial for designing efficient, scalable solutions that streamline data workflows and support business intelligence needs.

What does a data automation engineer do?

A data automation engineer designs, develops, and maintains systems that automate data collection, processing, and analysis to improve efficiency and accuracy. They often work with tools like scripting languages, ETL platforms, and cloud services to streamline data workflows and support data-driven decision-making.

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

AspectData Automation EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of scripting and automation toolsBachelor's in Statistics, Math, or related; proficiency in data visualization and analysis tools
Work EnvironmentFocus on developing automation pipelines, scripting, and optimizing data workflowsFocus on interpreting data, creating reports, and providing insights
Employer & Industry UsageTech companies, data-driven organizations, IT departmentsMarketing firms, finance, healthcare, research institutions

The main difference is that Data Automation Engineers focus on building and maintaining automated data processes, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but their core responsibilities differ significantly.

What engineers make $300,000 a year?

Senior data automation engineers, especially those with extensive experience, advanced skills in scripting, cloud platforms, and automation tools, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, or leadership positions in data engineering and automation fields.

What engineers make $500,000?

Senior data automation engineers with extensive experience, specialized skills in scripting, cloud platforms, and automation tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of delivering complex automation solutions.
What are popular job titles related to Data Automation Engineer jobs in Texas? For Data Automation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Automation Engineer jobs in Texas look for? The top searched job categories for Data Automation Engineer jobs in Texas are:
What cities in Texas are hiring for Data Automation Engineer jobs? Cities in Texas with the most Data Automation Engineer job openings:
Data Automation Engineer jobs near you

Data Automation Assistant

The Debt Defenders by Ciment Law Firm, PLLC

Katy, TX • On-site

$15.25 - $20.50/hr

Full-time

Posted 20 days ago

Job description

Description
We are seeking a reliable, detail-oriented Data Automation Assistant to support a critical daily workflow that integrates data processing, automation, and physical mail operations.
This role is key to ensuring timely direct mail outreach regarding court-filed debt lawsuits. Speed, accuracy, and consistency are essential. The position involves hands-on operational work (printing, mailing, data cleanup) while also providing exposure to automation tools, scripting, and data systems that power the process behind the scenes.
You will work closely with our Data Operations Specialist, supporting existing systems and gradually learning how to assist with troubleshooting, data validation, and automation workflows. This is a strong opportunity for someone interested in building real-world technical skills while contributing to a structured, process-driven operation.
Responsibilities
$41
Qualifications
• Strong attention to detail with the ability to work within structured, repeatable processes
• Demonstrated interest in programming, scripting, or automation (Python, JavaScript, or similar exposure preferred but not required)
• Familiarity with or curiosity about web scraping, data pipelines, APIs, or ETL processes is a strong plus
• Comfortable working with data in spreadsheets or similar tools; exposure to structured data (CSV, JSON, etc.) is a plus
• Willingness to troubleshoot issues, investigate errors, and learn how systems work end-to-end
• Able to balance hands-on operational tasks with technical learning and problem-solving
• Currently pursuing or recently completed coursework in computer science, data analytics, information systems, or a related field preferred

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