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Data Operations Engineer Jobs in Texas (NOW HIRING)

Symphony Corporation

Data Operations Engineer

Austin, TX · On-site

$68K - $93K/yr

Data Operations Engineer Location: Austin, TX 6 MOnths Role: Data Operations Engineer o As data operations engineer, you will collaborate with various infrastructure teams, platforms, product ...

GLG

Data Operations Engineer

Austin, TX

$113K - $136K/yr

We're looking for a curious Data Operations Engineer with 2-3 years' experience to join our Data Operations team and keep the data that powers GLG flowing reliably. You'll pair with other engineers ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$110K - $132K/yr

They are seeking a Software Data Operations Engineer to analyze existing systems, develop specifications, and verify implementation for cloud-based solutions. Responsibilities : • Collect ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Software Data Operations Engineer Plano (Dallas), Texas About MAQ Software MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to validate data lineage and dependencies within project repositories. * Design processing steps and ...

OmniForce

Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

... operational data into actionable insights for internal teams and customers Ensure reporting reflects real-time operating conditions and supports decision-making Collaborate with engineering, supply ...

WaterBridge Resources, LLC

Operations Engineer

Midland, TX · On-site

$68K - $92K/yr

The Operations Engineer will work closely with field operations, project engineering, and ... Data Analysis: Analyze production, flow, and pressure data to identify trends, inefficiencies, and ...

Catalyst Brands

Lead Engineer -DevOps

Dallas, TX · On-site

$103K - $172K/yr

You will work at the intersection of platform engineering and data operations, enabling seamless deployment, monitoring, and governance of data and analytics solutions. This role combines hands-on ...

Kforce Technology Staffing

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Azure Data Engineer Associate (DP-203) or Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) are highly valued * Experience with Docker and container orchestration (Azure Kubernetes Service ...

Downhole Chemical Solutions

Operations Engineer

Midland, TX · On-site

$70K - $80K/yr

Founded in 2015, we specialize in slickwater fluid systems and data-backed stimulation chemistries ... We are seeking an Operations Engineer to join our team. In this pivotal role, you will play a key ...

Downhole Chemical Solutions

Operations Engineer

Midland, TX · On-site

$70K - $80K/yr

Founded in 2015, we specialize in slickwater fluid systems and data-backed stimulation chemistries ... We are seeking an Operations Engineer to join our team. In this pivotal role, you will play a key ...

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Showing results 1-20

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.

Data Operations Engineer

Symphony Corporation

Austin, TX • On-site

$68K - $93K/yr

Other

Posted 5 days ago

Job description

Data Operations Engineer
Location: Austin, TX

6 MOnths
Role: Data Operations Engineer
o As data operations engineer, you will collaborate with various infrastructure teams, platforms, product, engineering and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations. The ideal candidate is a self-motivated teammate with good problem solving and communication skills with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible operational decisions.
o KEY RESPONSIBILITIES
 Lead day-to-day operations to ensure organizational delivery of quality results.
 Responsible for provisioning, enabling, scaling and maintaining our team’s data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.
 Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users.
 Collaborate with the platform team by building the right tools for observability , monitoring, alerting and self-healing for the day to day management of analytics foundations.
 Debug complex problems in distributed environment and ability to run the prod incidents efficiently to following up with Post incident reviews.
 Developing self-service tools and automation to improve engineering efficiency and the quality of services.
 Excellent verbal and written communication skills.
 Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities.
 Hands-on experience with CI/CD pipelines and cloud environments like Gitlab, Spinnaker, Docker/Kubernetes observability using Splunk, Grafana/Data dog is a huge plus.
 Proficient with one or more programming languages such as Python/Go/Rust/Java/Scala for automation and API integrations.
 Experience in implementing security controls, governance processes, compliance validation, infrastructure cost analysis and optimization.
 Knowledge of analytics and Applied ML stack like Apache Spark, Trino/Pinot, Iceberg, Atlas, Flink, Airflow/Luigi, Tableau, Snowflake, Databricks, MLFlow, Data Catalogs, Jupyter Notebooks, Vector database and Cassandra.
 Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling.
 Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments.?

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