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Data Automation Engineer Jobs in Texas (NOW HIRING)

AppFolio

Staff Data & Automation Engineer

Richardson, TX · On-site

$152K - $190K/yr

Your Impact As the Staff Marketing Data & Automation Engineer, you will be a senior individual contributor responsible for designing and operationalizing applied AI capabilities within our Marketing ...

Mattr

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 ...

New

Mattr

Lead Automation Engineer

Dallas, TX

$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 ...

New

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 ...

Cellipont Bioservices

Automation Engineer II

Spring, TX · On-site

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 ...

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 ...

Cybercoders

Automation Engineer

New Caney, TX

Automation Engineer Automation Engineer Position Overview We are seeking an experienced Automation ... Support SCADA operations, including alarm analysis, data integrity checks and trending to aid ...

Appiness Inc.

Automation Engineer

Irving, TX · On-site

... test automation, or quality engineering  Strong hands-on programming experience in C#  ... data validation experience across systems  Experience integrating automated tests into 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

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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 Aug 3, 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:
Data Automation Engineer jobs near you
Infographic showing various Data Automation Engineer job openings in Texas as of July 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.

Staff Data & Automation Engineer

AppFolio

Richardson, TX • On-site

$152K - $190K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

180th of 241 rated software companies

Job description

We’re innovators, changemakers, and collaborators. At every opportunity, we set the pace while delivering innovation built to carry real estate into the future. We create a world where every experience feels effortless, yet meaningful, and where customers are empowered to take on any opportunity. We show up as one team, connected by our values to be a force for good. Because together, we have the power to create extraordinary outcomes for our customers, our communities, and ourselves.
Your Impact
As the Staff Marketing Data & Automation Engineer, you will be a senior individual contributor responsible for designing and operationalizing applied AI capabilities within our Marketing and Go-To-Market workflows. Operating within enterprise data and automation standards, you will build scalable, AI-enabled systems that directly improve pipeline quality, targeting precision and conversion efficiency.
In this role, you will own the AI-powered data transformation layer, from initial prompt design and model integration to downstream activation into core revenue platforms like Salesforce and Marketo. You will serve as a subject matter expert, mentoring team members and elevating the collective output of the department by defining reusable AI design patterns.
Key Responsibilities
  • AI Solution Design: Translate Marketing OKRs into AI-enabled data workflows, designing systems for automated enrichment, summarization, and lead signal generation.
  • Architecture & Delivery: Implement AI workflows using enterprise frameworks (e.g., MCP) and evaluate model architectures—including RAG (Retrieval-Augmented Generation) and agentic workflows—based on performance and cost-scalability.
  • Data Activation: Operationalize AI-enriched signals into our Snowflake data warehouse and activate them across the revenue stack, including Salesforce (CRM) and Marketo (MAP).
  • Governance & Quality: Establish human-in-the-loop controls and evaluation frameworks to monitor model drift, accuracy, and compliance with data privacy policies.
  • Strategic Leadership: Advise leadership on AI opportunity sequencing and ROI, while identifying automation capacity to quantify total operational impact.
Qualifications
  • Expertise in AI/LLMs: Significant hands-on experience building production workflows using LLMs (OpenAI, Anthropic) and Agentic AI frameworks.
  • Data Engineering Mastery: Advanced SQL and Python skills with deep experience working in cloud data warehouses like Snowflake or BigQuery.
  • System Integration: Proven ability to integrate external APIs (REST/SOAP) into operational data systems and revenue platforms.
  • Strategic Execution: Experience owning technical systems from initial experimentation through full-scale operationalization.
  • Collaborative Mindset: A track record of thriving in highly collaborative, cross-functional environments and mentoring junior engineers.
Preferred
  • Experience supporting Growth or Revenue Operations teams.
  • Familiarity with dbt for transformation and Airflow for orchestration.
  • Knowledge of specialized data acquisition tools like Firecrawl.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: $152,000 - $190,000 [base pay]. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity. 
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here.
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