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Data Automation Jobs in Texas (NOW HIRING)

As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...

Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation). * Advanced Semantic ...

The position will resolve data discrepancies, develop actionable insights, create leadership ... AI Workflow Automation and RAG: Build or support AI-enabled workflows using retrieval-augmented ...

The position will resolve data discrepancies, develop actionable insights, create leadership ... AI Workflow Automation and RAG: Build or support AI-enabled workflows using retrieval-augmented ...

... automation opportunities, process inefficiencies and provide solutions • Communicate, collaborate with multiple departments - field operations, IT, accounting, data support groups, etc • Develop ...

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

... automation scripts to ensure accuracy, transparency, and compliance with data privacy standards. • Document data workflows and AI tools clearly for reuse, maintainability, and auditability. • ...

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Data Automation information

See Texas salary details

$10

$41

$68

How much do data automation jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data automation in Texas is $41.07, according to ZipRecruiter salary data. Most workers in this role earn between $25.37 and $58.77 per hour, depending on experience, location, and employer.

What is data automation?

Data automation in a job context involves using software tools and scripts to automatically collect, process, and manage data, reducing manual effort and increasing efficiency. Data automation specialists often work with programming languages, databases, and automation platforms to streamline data workflows and ensure accuracy.

What are typical responsibilities of a Data Automation professional on a day-to-day basis?

Data Automation professionals are responsible for designing, developing, and maintaining automated workflows that process, cleanse, and move large sets of data across various platforms. On a daily basis, they may create scripts, monitor data pipelines, troubleshoot integration issues, and optimize processes for better efficiency. They frequently collaborate with data analysts, engineers, and business teams to ensure that automated systems align with company goals and provide accurate, timely data. This dynamic environment allows for continuous learning and contributes significantly to data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive in the Data Automation position, and why are they important?

To excel in Data Automation, you generally need strong analytical skills, fluency with data manipulation, and a background in computer science, data engineering, or a related field. Familiarity with tools such as Python, SQL, ETL platforms, and automation frameworks, as well as relevant certifications like Certified Data Professional (CDP), is highly valued. Problem-solving abilities, attention to detail, and effective collaboration are essential soft skills for this role. These qualifications enable professionals to efficiently streamline data processes, reduce manual errors, and deliver reliable, scalable solutions for business intelligence.

What is a Data Automation job?

A Data Automation job involves designing, developing, and maintaining automated systems to collect, process, and analyze data efficiently. Professionals in this role use programming, scripting, and data integration tools to streamline workflows and reduce manual effort. They work with databases, ETL processes, APIs, and automation frameworks to ensure data accuracy and accessibility. The goal is to improve efficiency, reduce errors, and enable data-driven decision-making. This role is common in industries such as finance, healthcare, e-commerce, and technology.

What is the highest paying data job?

The highest paying data jobs typically include Data Engineering Manager, Data Architect, and Chief Data Officer roles, which often require advanced skills in data architecture, leadership, and experience with tools like cloud platforms and big data technologies. These positions can offer salaries exceeding $150,000 annually, depending on industry and location.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in data automation, machine learning, and programming. Careers in this area often require knowledge of tools like Python, R, and automation platforms, and can offer opportunities in various industries such as finance, healthcare, and technology. It is considered a promising career path due to ongoing technological advancements and the expanding role of AI in business processes.
What are the most commonly searched types of Data Automation jobs in Texas? The most popular types of Data Automation jobs in Texas are:
What cities in Texas are hiring for Data Automation jobs? Cities in Texas with the most Data Automation job openings:
Infographic showing various Data Automation job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $85,428 per year, or $41.1 per hour.

$15.25 - $20.50/hr

Full-time

Re-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