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Data Automation Engineer Jobs in Texas (NOW HIRING)

AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to ...

Lead Automation Engineer

Rockwall, TX · On-site

$94K - $118K/yr

Support continuous improvement initiatives and explore opportunities for data automation and ... Strong PLC programming experience, including ladder logic and structured text, with the ability to ...

Support continuous improvement initiatives and explore opportunities for data automation and ... Strong PLC programming experience, including ladder logic and structured text, with the ability to ...

Automation Engineer

Houston, TX · On-site

$85 - $110/hr

Provide engineering support for medium- to large-scale automation and capital projects, including ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

Provide engineering support for medium- to large-scale automation and capital projects, including ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

Provide engineering support for medium- to large-scale automation and capital projects, including ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

Automation Engineer

Houston, TX · On-site

$110 - $150/hr

Join our Innovation Team as an Automation Engineer in one of our various U.S. office locations ... data processing pipelines, and API integrations. + Design, build, and maintain AI agents and ...

Provide engineering support for medium- to large-scale automation and capital projects, including ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

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 ...

Automation Engineer

Humble, TX · On-site

$90 - $120/hr

The engineer will also collaborate with IT and data teams to enable secure equipment connectivity ... The Automation Engineer works closely with application and manufacturing engineers, quality ...

The Automation Engineer II will be part of a team reporting to the Manager of Engineering and will ... Apply applicable computerized-system and data-integrity requirements, including 21 CFR Part 11, EU ...

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Showing results 1-20

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 Aug 24, 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.

What is a data automation engineer?

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 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 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 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 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:

Infographic showing various Data Automation Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,805 per year, or $48 per hour.

AWS Data Automation Engineer

Node.Digital

Arlington, TX • On-site

$140 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security Clearance

Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber‑attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services.

Node is seeking an AWS Data Automation Engineer to support this critical customer mission.

The Data Automation Engineer will develop and implement automation solutions to support technology integration activities, focusing on data pipeline development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Responsibilities:
  • Develop automated data pipelines for technology integration initiatives
  • Create automation workflows for malware sample collection, detonation, and taxonomy
  • Implement data integration automation between pilot and production systems
  • Support Automated Malware Analysis (AMA) platform development and enhancement
  • Develop scripts and tools to automate repetitive technical tasks
  • Create data transformation and normalization automation
  • Support AI/ML data preparation and feature engineering automation
  • Develop monitoring and alerting automation for integrated systems
  • Implement API integrations for data sharing and workflow automation
  • Document automation solutions and maintain code repositories
  • Support scaling automation from pilot to production environments
  • Optimize automation performance and efficiency
  • Collaborate with analysts to identify automation opportunities
  • Ensure automation solutions maintain data quality and integrity
  • Support continuous improvement of automated capabilities
Required Skills:
  • U.S. Citizenship
  • Active Secret clearance; TS/SCI preferred
  • Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
  • 5+ years of experience in automation engineering, data engineering, or software development
  • Subject matter expertise of core AWS components including VPCs, EC2, EKS, IAM, SQS, SNS, Lambda, and Route 53
  • Experience with data ingestion pipeline design on AWS
  • Experience with S3 data storage architecture and schema design for analytic workflows
  • Strong programming skills in Python, with experience in data manipulation libraries
  • Experience developing data pipelines and ETL processes
  • Knowledge of automation frameworks and orchestration tools
  • Experience with APIs and integration technologies
  • Understanding of database systems and data modeling
  • Familiarity with version control (Git) and CI/CD practices
  • Strong problem‑solving and analytical skills
  • Ability to translate business requirements into automated solutions
  • Excellent documentation and communication abilities
Desired Skills:
  • Experience with malware analysis automation or cybersecurity tools
  • Experience with AWS support service configurations (AWS Budget, EMR, Kinesis, GuardDuty, Cloudwatch, OpsWorks)
  • Knowledge of AI/ML pipelines and data preparation
  • Experience with workflow orchestration tools (Airflow, Prefect)
  • Background in cybersecurity or threat intelligence automation
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Knowledge of streaming data platforms (Kafka, Kinesis)
  • Familiarity with big data technologies (Spark, Hadoop)
  • Experience supporting federal cybersecurity programs

Required Education: BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience

Desired Certifications:
  • DoD 8140 IAT Level III
  • CSSLP

We are proud to offer competitive compensation and benefits packages to include

Benefits:
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training
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