1

Data Automation Engineer Jobs in Texas (NOW HIRING)

Analyze operational data and identify opportunities for process improvement and increased system ... Support automation projects from concept through deployment and operational handoff. * Collaborate ...

Adhere to organizational standards for data privacy, security, and responsible AI usage What is ... automation, integration, or software engineering roles, with 2+ years focused on AI/ML solutions.

Identify system dependencies, data flow requirements, interface impacts, and operational risks ... automation engineering, Business Systems Analyst, Product Analyst, or similar experience.

Adhere to organizational standards for data privacy, security, and responsible AI usage What is ... automation, integration, or software engineering roles, with 2+ years focused on AI/ML solutions.

The Automation Engineer is responsible for designing and deploying intelligent automation systems ... around data security and access control • Develop reusable automation templates and internal ...

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

SDET Automation Engineer

Austin, TX · On-site

$45.50 - $60.25/hr

Our client seeks an SDET Automation Engineer f or a 12 Months project in Austin, TX. Below is the ... Advanced SQL for large-scale data validation * Test management tools (e.g., TestRail) Required ...

Adhere to organizational standards for data privacy, security, and responsible AI usage What is ... automation, integration, or software engineering roles, with 2+ years focused on AI/ML solutions.

... our automation at site. Typical responsibilities * Provide engineering and technical support for ... Support implementation of Nalco Water equipment data connectivity, including 3D TRASAR and related ...

Adhere to organizational standards for data privacy, security, and responsible AI usage What is ... automation, integration, or software engineering roles, with 2+ years focused on AI/ML solutions.

Adhere to organizational standards for data privacy, security, and responsible AI usage What is ... automation, integration, or software engineering roles, with 2+ years focused on AI/ML solutions.

Implement data-driven, keyword-driven and modular frameworks for scalable automation. * Use VBScript and descriptive programming for dynamic object handling. * Maintain and update Selenium WebDriver ...

Adhere to organizational standards for data privacy, security, and responsible AI usage What is ... automation, integration, or software engineering roles, with 2+ years focused on AI/ML solutions.

Essential Responsibilities AS A PAD AUTOMATION ENGINEER YOU WILL: * Become proficient in PAD ... Design and configure SCADA systems using WonderWare InTouch, Allen Bradley Factory Talk, Copa-Data ...

Showing results 41-60

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 8, 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 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 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 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 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:
Infographic showing various Data Automation Engineer job openings in Texas 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 $99,805 per year, or $48 per hour.

Automation Engineer II

Baylor Genetics

Houston, TX • On-site

Full-time

Re-posted 21 days ago


Baylor Genetics rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

27th of 120 rated laboratories


Job description

KEY RESPONSIBILITIES
  • Independently gather and translate user requirements into automated workflow solutions.
  • Develop, test, implement, and optimize automated laboratory assays and workflows to improve operational efficiency, throughput, quality, and reliability.
  • Perform verification and validation activities in accordance with regulatory and quality requirements.
  • Configure, program, troubleshoot, and maintain automated liquid handling instrument software and associated systems.
  • Collaborate with Information Technology (IT) and laboratory teams to support system integrations, data management, and Laboratory Information Management System (LIMS) interfaces.
  • Provide technical support for laboratory automation systems, including troubleshooting hardware, software, workflow, and integration issues.
  • Perform calibration, maintenance, and repair activities on laboratory automation equipment and supporting instrumentation.
  • Participate in on-call support rotation for production automation systems.
  • Train laboratory personnel on automated workflows, equipment operation, and best practices.
  • Generate, maintain, and revise SOPs, work instructions, validation documentation, and other automation-related records.
  • Track, document, and manage changes to automation methods, software configurations, and workflows.
  • Analyze operational data and identify opportunities for process improvement and increased system reliability.
  • Support automation projects from concept through deployment and operational handoff.
  • Collaborate with vendors and internal stakeholders to evaluate, implement, and support automation solutions.
  • Participate in continuous improvement initiatives and contribute technical recommendations.
  • Perform other job-related duties as assigned.
  • Adhere to the Code of Conduct as outlined in Baylor Genetics' Compliance Program.

QUALIFICATIONS
Required
  • BS in Engineering, Computer Science, Biotechnology, Biochemistry, or a related field with 2+ years of relevant experience, or
  • MS in Engineering, Computer Science, Biotechnology, Biochemistry, or a related field with 1+ years of relevant experience
  • Experience working in a biotechnology, clinical laboratory, or related environment.
  • Experience operating, supporting, and developing methods for automated liquid handling systems. Preferred platforms include Tecan, Beckman, Hamilton, or equivalent laboratory automation systems.
  • Ability to independently troubleshoot and resolve issues involving liquid handling equipment and general laboratory instrumentation.
  • Strong programming skills in Visual Basic, Python, SQL, or equivalent programming languages.
  • Good laboratory and organizational skills; the ability to work independently and efficiently is essential.
  • Strong creative thinking and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collect, analyze, and interpret data to support verification, validation, calibration, and troubleshooting activities.
  • Strong Microsoft Excel data manipulation and analysis skills.
  • Ability to develop algorithms, scripts, and software solutions to support automation and data analysis needs.
  • Mechanical aptitude and understanding of laboratory automation systems; strong spatial reasoning skills.
  • Understanding of basic statistical concepts, including accuracy, precision, variability, and trend analysis.
  • SQL and database knowledge.

Preferred
  • Experience integrating automation platforms with LIMS, databases, or other laboratory software systems.
  • Experience supporting production laboratory operations in a regulated environment.
  • Knowledge of Lean, Six Sigma, or other continuous improvement methodologies.
  • Experience participating in automation project implementation, system commissioning and deployment.

COMPETENCIES
  • Analytical--Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; Designs workflows and procedures.
  • Problem Solving--Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics.
  • Technical Skills--Assesses own strengths and weaknesses; Pursues training and development opportunities; Strives to continuously build knowledge and skills; Shares expertise with others.
  • Interpersonal Skills--Focuses on solving conflict, not blaming; Maintains confidentiality; Listens to others without interrupting; Keeps emotions under control; Remains open to others' ideas and tries new things.
  • Oral Communication--Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings.
  • Written Communication--Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information.
  • Teamwork--Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed.
  • Leadership--Exhibits confidence in self and others; Inspires and motivates others to perform well; Effectively influences actions and opinions of others; Accepts feedback from others; Gives appropriate recognition to others.
  • Ethics--Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values.
  • Professionalism--Approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration regardless of their status or position; Accepts responsibility for own actions; Follows through on commitments.
  • Adaptability--Adapts to changes in the work environment; Manages competing demands; Changes approach or method to best fit the situation; Able to deal with frequent change, delays, or unexpected events.
  • Dependability--Follows instructions, responds to management direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan.
  • Innovation--Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention.

PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit
  • Frequently required to utilize hand and finger dexterity
  • Frequently required to talk or hear
  • Frequently required utilize visual acuity to operate equipment, read technical information, and/or use keyboard
  • Occasionally exposure to bloodborne and airborne pathogens or infectious materials

EEO STATEMENT
Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Baylor Genetics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom