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Data Operations Engineer Jobs in Texas (NOW HIRING)

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 ...

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 ...

DevOps Engineer

The Woodlands, TX · On-site

$48.25 - $66.25/hr

Waste Connections is seeking a DevOps Engineer to support and modernize the CI/CD platform that powers our product, data, and enterprise application teams. This role will lead the migration of ...

DevOps Engineer

Plano, TX · On-site

$70/hr

... s Engineer to help scale and support modern cloud infrastructure, automation, and platform ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Devops Engineer

San Antonio, TX · On-site

$47.50 - $65.25/hr

... s Engineer Tools & Technologies: * Apache Kafka (Self-managed or MSK) * AWS managed Apache Flink ... Understanding of Apache Flink for real-time stream processing and batch data processing.

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 ...

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 ...

Golang DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

... s Engineer who will develop, test, and maintain software solutions while collaborating with cross ... Proficiency in algorithms, data structures, and problem-solving • Preferred language: Golang ...

DevOps Engineer - Remote

Dallas, TX · Remote

$50 - $150/hr

... s Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Previous experience with AI training data or model evaluation.

... s Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Previous experience with AI training data or model evaluation.

DevOps Engineer - Remote

Austin, TX · Remote

$50 - $150/hr

... s Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Previous experience with AI training data or model evaluation.

Devops Engineer

Houston, TX · On-site

$50.25 - $69/hr

... s Engineer designs and manages database architecture, CI/CD pipeline infrastructure, and on ... Microsoft certifications in SQL Server or Azure Data (DP-300, or equivalent) * Hands-on experience ...

Devops Engineer

Houston, TX · On-site

$50.25 - $69/hr

... s Engineer designs and manages database architecture, CI/CD pipeline infrastructure, and on ... Microsoft certifications in SQL Server or Azure Data (DP-300, or equivalent) * Hands-on experience ...

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 ...

Devops Engineer

Dallas, TX

$52.25 - $71.50/hr

Proficiency in C# and/or Java programming, data modeling and web development using RESTful services ... operations, and Project Management. Team Culture: Our team is fast paced, fun, highly energetic ...

Showing results 41-60

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 Sep 3, 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 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 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 does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently for analysis. They often work with tools like SQL, Python, and cloud platforms to automate workflows, monitor data quality, and support data-driven decision-making.

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 August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $79,217 per year, or $38.1 per hour.

$50.25 - $69/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Join the ECI Group's Professional Technical Services Network as an DevOps Engineer. This is a Houston based a six-month contract role. NOTE: No visa sponsorships are available at this time for this position.
Role Overview
Must have strong front-office trading support experience, including 8+ years of FIX protocol, exchange connectivity, and real-time market data distribution (RTDS/DACS/ADH/ADS).
As DevOps Engineer , you will be a hands-on Engineer and be a member of a small high performing, team responsible for global derviatives trading production environments. Your work will be driven both by product teams but also engineering team backlogs of improvements and tech debt. Work includes -
• Ensure proactive management of critical end-to-end workflows, continuously improving stability and resilience through close collarabituon with delivery and infrastructure teams
• Assist with troubleshooting and issue resolution across development, support, and technical business users.
• Serve as an subject matter expert for trading systems initiatives.
• Hands-on experience in supporting scalable algorithmic trading technology in a compliant and flexible way.
• Experience of Algo regulation, audit and compliance & RTS6) is highly desirable
• Being part of the on-call rota working as part of a global team development engineers
Required Industry Knowledge:
• Understanding of all major global futures exchanges
• Knowledge of full exchange-traded derivatives trade lifecycle
• Minimum of 8 years' experience in Commodity Trading & Capital Markets / Investment Banks - to bring credible externalisation of mindset and approach and ensure we are cost: value competitive
• Knowledge of market data providers (Bloomberg, Refinitiv, etc.) and liquidity aggregation platforms.
• [Mininum of 8 years of knowledge of Realtime Market Data distribution platforms, individual Feedhandlers and Enterprise level realtime consolidated feeds]
• [Mininum of 8 years of knowledge of timeseries analytic frameworks include kdb, shakti or similar technologies]
Key Skills and Experience required
• Solid track record in application deployment best practices
• 10 years+ experience with Front Office application support and vendor management
• Rapid incident response to maintain continuous trading operations, turning quick fixes into robust, scalable solutions
• Proactive system monitoring and troubleshooting, owning reliability improvements and ensuring their successful delivery
• Understanding of trading lifecycle, including order capture & execution, allocation workflow, settlement, and compliance requirements
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and propose innovative solutions.
• Must have strong technical skills in scripting, Python, PowerShell, C#, SQL or other programming languages
• 8 years+ solid relevant FIX Engineering experience
• Proven experience with exchange and vendor certification
• Knowledge of Third Party Networks and EMS/OMS software vendors. (e.g., TT, NYFIX, Bloomberg, TradingScreen)
• Experience in messaging systems, and experience debugging network protocols such as TCP, multicast, would be highly regarded.
• [8 years+ operational experience in supporting market data distribution platforms such as, Real Time Distribution Systems (RTDS) knowledge for DACS, ADH & ADS components]
• [Knowledge of Multicast data traffic management, arbitration and message queueing]
• [5 years+ operational experience in supporting time series frameworks such as kdb, shakti]
Soft Skills:
• Excellent communication skills to interact with traders, developers, and stakeholders.
• Thrives in high-pressure situations while working alongside traders, developers and other engineering teams
• Proactive, self-motivated, and flexible with a positive attitude
• Ability to work under demanding deadlines with changing priorities in a trading room environment