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Data Operations Engineer Jobs in Texas (NOW HIRING)

Devops Engineer

Plano, TX · On-site

$50.50 - $69.25/hr

... s Engineer Location: Plano, TX Onsite role Bachelor's or master's degree in computer science ... Hands-on experience with Snowflake administration, configuration, and optimization in a data ...

Operations Engineer

Midland, TX · On-site

$68K - $92K/yr

The Operations Engineer is responsible for front line optimization of artificial lift systems ... Review daily production data, downtime reports, and LOE trends to identify underperforming wells ...

Operations Engineer

Midland, TX · On-site

$58K - $79K/yr

Job Title: Operations Engineer Location: Midland, TX (In Person) Reports To: VP, Engineering ... Ensure accurate operational data collection and volume reporting. * Prepare clear technical reports ...

Operations Engineer

Midland, TX · On-site

$58K - $79K/yr

Job Title: Operations Engineer Location: Midland, TX (In Person) Reports To: VP, Engineering ... Ensure accurate operational data collection and volume reporting. * Prepare clear technical reports ...

DevOps Engineer

Austin, TX

$52.25 - $71.50/hr

As part of the Cloud Platform and DevOps group you will work on products critical to our operations and software that proactively detects issues with systems in the data centre, in the cloud, or at ...

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 ...

Operations Engineer

Baytown, TX · On-site

$62K - $83K/yr

The Operations Engineer will support the design, maintenance, and optimization of mechanical ... Data & Reporting 2.9 Collect and analyze equipment and process performance data across assigned ...

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 ...

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 ...

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 ...

AI DevOps Engineer

Dallas, TX

$48.25 - $66/hr

The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into ...

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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 Jul 17, 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 does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently and accurately. They often work with tools like SQL, Python, and cloud platforms to automate data workflows, troubleshoot issues, and optimize data systems for analytics and reporting.

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 engineers make $300,000 a year?

Senior data operations engineers, especially those with extensive experience, advanced skills in data management, automation, and cloud platforms, can earn $300,000 or more annually. High compensation often depends on factors such as location, industry, certifications, and the complexity of data systems managed.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are the key skills and qualifications needed to thrive as a Data Operations Engineer, and why are they important?

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 engineers make $500,000?

Senior data operations engineers with extensive experience, advanced skills in data management, automation, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

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:
Infographic showing various Data Operations Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,217 per year, or $38.1 per hour.
Devops Engineer

Devops Engineer

EPSoft Technologies

Plano, TX • On-site

$50.50 - $69.25/hr

Other

Re-posted 6 days ago


Job description

Job Title: DevOps Engineer
Location: Plano, TX
Onsite role
Bachelor's or master's degree in computer science, Information Systems, or related field
  1. 8+ years of experience in DevOps, with at least 3 years working with cloud data platforms like Snowflake, MarTech, and CDP
  2. Strong expertise in CI/CD pipeline development, automation, and orchestration tools (e.g., Jenkins, GitLab, Terraform)
  3. Hands-on experience with Snowflake administration, configuration, and optimization in a data warehouse environment
  4. Proficiency in Azure cloud platforms and their integration with Snowflake for MarTech and CDP workflows
  5. Knowledge of infrastructure as code (IaC), containerization (e.g., Docker, Kubernetes), and monitoring tools (e.g., Prometheus, Grafana)
  6. Understanding of marketing technologies, customer data platforms, and their data processing requirements
  7. Familiarity with data security, privacy regulations (e.g., GDPR, CCPA), and secure deployment practices
  8. Programming skills in languages such as Python, Bash, or PowerShell for automation and scripting
  9. Strong problem-solving skills, with a focus on improving system reliability, scalability, and performance.
  10. Excellent collaboration and communication skills to work with data engineers, architects, and marketing teams.
  11. Relevant certifications (e.g., Snowflake SnowPro, AWS DevOps, Kubernetes) are a plus