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Data Operations Engineer Jobs in Texas (NOW HIRING)

Actian Corporation

DevOps Engineer

Round Rock, TX · On-site

$49.25 - $67.50/hr

About Actian Actian, a division of HCLSoftware, is the leader in data intelligence. We develop high ... s Engineer, you are part of a mission-critical team that ensures our global engineering force has ...

Actian Corporation

DevOps Engineer

Round Rock, TX · Hybrid

$49.25 - $67.50/hr

About Actian Actian, a division of HCLSoftware, is the leader in data intelligence. We develop high ... s Engineer, you are part of a mission-critical team that ensures our global engineering force has ...

NCD Agency LLC

Operations Engineer

Dallas, TX · On-site

$68K - $93K/yr

Summary NCD is seeking an Operations Engineer to join our Data team as a strong mid-level individual contributor. This role is built for someone who can own ambiguous business problems, partner ...

Ruri Software Technologies LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Job Titile: Data Engineer Work Location; Irving, Texas Duration: 8+ Months Specific Skills ... data operations * You have experience implementing and maintaining high performance ...

BusPatrol LLC

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Use operational data and engineering feedback to reduce recurring issues, strengthen controls, and improve the overall delivery system. * Collaborate closely with software engineering, security ...

Cymertek

DevOps Engineer

San Antonio, TX · On-site

$48 - $65.75/hr

... , Data Science, Electrical Engineering, IT Management, Cybersecurity, Artificial Intelligence, Applied Mathematics, Business Information Systems, ect. ALTERNATE EXPERIENCE General comment on degrees:

Esolvit, Inc.

Senior DevOps Engineer

Austin, TX · On-site

$128K - $165K/yr

Austin, TX Duration: Long Term Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI ...

Copart, Inc.

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

... operations ... This role requires an engineer who can partner closely with Product, Engineering, Data Science, AI ...

Actian

DevOps Engineer

Round Rock, TX · On-site

$49.25 - $67.50/hr

Actian is a leader in data intelligence, developing high-performance database technologies. They are seeking a DevOps Engineer to ensure reliable and efficient build environments, working closely ...

Apex Systems

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Work with data engineers, data scientists, and business analysts to translate data requirements into technical solutions. * Change Management: Follow processes for Change Requests, incidents ...

SpaceX

Global Operations Engineer (Starlink)

Bastrop, TX · On-site

$69K - $93K/yr

Develop and maintain data analysis and tracking tools to monitor customer experience and internal operational performance * Coordinate with cross-functional partners (design, engineering, software ...

PepsiCo

Enterprise Data Operations Senior Analyst

Plano, TX · On-site +1

$118K - $148K/yr

Establish and enforce best practices for data engineering operations, including monitoring, logging, alerting, and automated deployment using Azure DevOps, Git, and CI/CD pipelines to ensure data ...

Gallatin AI, Inc

Mission Operations Engineer

Austin, TX · On-site

$68K - $93K/yr

From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage. About the Role We're looking for a Mission Operations Engineer to join our Field ...

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All JobsData Operations Engineer JobsData Operations Engineer Jobs in Texas

Data Operations Engineer information

See Texas salary details

$33.5K

$79.2K

$125.8K

How much do data operations engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data operations engineer in Texas is $79,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $87,600.00 per year, depending on experience, location, and employer.

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

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a data operations engineer?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What are some common challenges faced by data operations engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.
What are popular job titles related to Data Operations Engineer jobs in Texas? For Data Operations Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Operations Engineer jobs in Texas look for? The top searched job categories for Data Operations Engineer jobs in Texas are:
Data Operations Engineer jobs near you
Infographic showing various Data Operations Engineer job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $79,217 per year, or $38.1 per hour.

DevOps Engineer

Actian Corporation

Round Rock, TX • On-site

$49.25 - $67.50/hr

Full-time

Re-posted 25 days ago

Job description

About Actian
Actian, a division of HCLSoftware, is the leader in data intelligence. We develop high-performance database technologies (including Ingres, Vector, and Zen) that power the world, most demanding industries. As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering force has the most reliable and efficient build environments possible.
Actian is seeking a DevOps Engineer with 3-5 years of experience supporting enterprise infrastructure environments. This role requires strong Linux and Windows system administration skills along with experience in automation, operational compliance, and audit support. The position works closely with engineering, operations, and security teams to maintain and improve critical infrastructure systems and operational processes.
Position requires employee to be physically located in the Austin Texas metro for hybrid working schedule. No relocation is available for this position at this time.
Responsibilities:
  • Administering and supporting Linux and Windows systems
  • Performing system maintenance, patching, upgrades, and troubleshooting
  • Supporting internal and external audit activities, including evidence collection and remediation tracking
  • Maintaining infrastructure and operational documentation
  • Developing and maintaining automation using Ansible
  • Working with Git-based workflows and configuration management
  • Supporting operational security and compliance initiatives
  • Assisting with infrastructure modernization and process improvement efforts

Preferred Experience:
  • Ansible and Git
  • Bash, PowerShell, or Python scripting
  • Virtualization platforms such as VMware or Proxmox
  • Backup and recovery platforms
  • Compliance and audit processes
  • Monitoring and infrastructure management tools

Ideal Candidate:
  • Organized, detail-oriented, technically strong, and comfortable balancing hands-on operational responsibilities with compliance and process requirements. Strong communication skills and the ability to work across teams in a fast-paced environment are important for success in this role.
  • Looking for candidates who have spent most of their career managing on-premises servers and infrastructure, not cloud environments. Cloud-native engineers with primarily Kubernetes and AWS/GCP/Azure experience are not a match.
  • Must be located in the Austin Texas area.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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