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Data Operations Engineer Jobs (NOW HIRING)

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

Position Summary We're looking for a skilled Data Operations Engineer to join our growing data team. This position reports to the Manager of Data Operations and is responsible for ensuring the ...

$119K - $143K/yr

We are seeking a Data Operations Engineer to join our Data Engineering team under our Technology department. Using your creative problem solving skills, methodical attention to detail, and ...

Data Operations Engineer

Minneapolis, MN

$119K - $143K/yr

As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves through our systems -- ingestion, transformation, validation, and reconciliation -- bringing the ...

Data Operations Engineer

Richmond, VA · On-site

$130K - $145K/yr

... operation support. * Drive all stages of the SDLC development process, providing input to the ... Lead small data engineering projects with manageable risks and resource requirements; play ...

Data Operations Engineer Associates focus on building and maintaining data pipelines, ensuring data quality, and upholding compliance standards for sensitive healthcare data. Through hands-on ...

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 ...

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 ...

Software Data Operations Engineer Redmond, Washington About MAQ Software MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered ...

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Data Operations Engineer information

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How much do data operations engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 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 for analysis. They often work with tools like SQL, Python, and cloud platforms, focusing on data quality, automation, and system reliability to support data-driven decision-making.

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 tools, and certifications, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, or leadership positions in data engineering and related fields.

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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical in managing data workflows and ensuring data quality.

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 impactful projects.

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.
More about Data Operations Engineer jobs
What states have the most Data Operations Engineer jobs? States with the most job openings for Data Operations Engineer jobs include:
What job categories do people searching Data Operations Engineer jobs look for? The top searched job categories for Data Operations Engineer jobs are:
Infographic showing various Data Operations Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.
Data Operations Engineer

Data Operations Engineer

Texas Children's Hospital

Houston, TX • On-site, Remote

$66K - $89K/yr

Full-time

Posted 20 days ago


Texas Children's Hospital rating

8.3

Company rating: 8.3 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

75th of 1,002 rated hospitals


Job description

Texas Children's Hospital has an opening for a Data Operations Engineer position in Houston, Texas. Duties Include: 

Responsibility A: Analyzes and coordinates the designing of new & existing applications to support clinical business operations.

  1. Creates and refines data visualization tools to empower Operational users to more effectively utilize data in their daily practice management.

    1. Coordinates new development ensuring consistency and integration with existing information data structure.

    2. Leads business analysis, information acquisition, data access design, archive and recovery strategy, security, and change management.

    3. Develops, designs, and modifies technical specifications to address business problems, needs, and opportunities.

    4. Collaborates with operational leaders and clinicians to optimize systems, clarify needs, prioritize requests, recommend technology design, and implement innovative system enhancements.

Responsibility B: Collaborates with TCH internal core stakeholders to identify data and analytics application systems and process needs.

  1. Acts as liaison between department(s) and the IS data and analytics team for troubleshooting, immediate support, and issue resolution.

    1. Analyzes data and prepares reports for Hospital leadership and department stakeholders on a monthly, quarterly, annual or as-needed basis.

    2. Manages security access for department-specific dashboards.

    3. Validates department data from ingestion to production, adopts Enterprise Integration and Reporting Standards, and monitors data processes to ensure quality and lead issue resolution.

Responsibility C: Analyzes system problems and modifications and manages data integrity.

  1. Analyzes clinical and business use of existing systems to identify problems and define system improvements.

    1. Creates and implements data management strategy, develops validation mechanisms for data quality and accuracy at point of entry, and performs regular data audits using continuous quality improvement practices.

Responsibility D: Communicates/Collaborates with IS Data and Analytics team to manage testing and approval of updates/upgrades and modifications.

  1. Reviews functionality in test environment before migration to production, in partnership with IS data and analytics team.

    1. Serves as the department's point of contact for communications with IS Help Desk and Analysts, including submission of service requests.

    2. Participates in and/or leads pilots or application testing and may prepare and facilitate training classes for end users.

Responsibility E: Develops new processes to address identified needs and assures completion of new processes.

  1. Collaborates with end users, other departments, and IS data and reporting team to develop, review, document, and implement new processes including post-action plan metrics.

Responsibility F: Serves as subject matter, process expert and advisor in core department functional areas of TCH.

  1. Identifies end users, establishes regular communication, and shares best practices regarding data and visualizations.

    1. Maintains current knowledge of applications, data models, and shared values for integrated report writing.

    2. Serves as subject matter expert for all source systems and workflows, both clinical and operational.

Responsibility G: Facilitates improvements and actively seeks ways to use technology to improve productivity and business processes.

  1. Provides functional support in optimizing solutions aligned with regulatory agencies and TCH strategic plan.

    1. Develops, designs, and modifies functional specifications and business process maps and works with IS team to test and correct programs.

Responsibility H: Participates in committees as an Ambulatory Administration Data Representative. 

  1. Represents operational department as participating member of designated commitees, acts as technical liaison between operational and technical leaders and communicates committee goals, problems and solutions to Ambulatory leaders. 

Requirements: Employer will accept a minimum of bachelor's degree, or U.S. equivalent in Computer Science, Business Administration, Healthcare Administration, Business or Technology field or another closely related field and 60 months of experience as a Data Operations Engineer or related occupation. In the alternative, Employer will accept a master's degree, or U.S. equivalent in Computer Science, Business Administration, Healthcare Administration, Business or Technology field or another closely related field and 36 months of experience as a Data Operations Engineer or related occupation. Employer will Accept any Combination of Experience, Training or Education.

  1. 60 (36) months of experience in information systems management.

  2. 60 (36) months of experience in physician practice management, and/or other related operational or clinical field.

  3. 12 (12) months of experience with data-driven research in a medical/hospital setting.

To apply: You must apply online through the "Apply" tab. Include complete contact information (incl. e-mail, day/evening phone, and mailing address) on resume/application.

Since 1954, Texas Children's has been leading the charge in patient care, education and research to accelerate health care for children and women around the world. When you love what you do, it truly shows in the smiles of our patient families, employees and our numerous accolades such as being consistently ranked as the best children's hospital in Texas, and among the top in the nation by U.S. News & World Report as well as recognition from Houston Business Journal as one of this city's Best Places to Work for ten consecutive years. 

Texas Children's comprehensive health care network includes our primary hospital in the Texas Medical Center with expertise in over 40 pediatric subspecialties; the Jan and Dan Duncan Neurological Research Institute (NRI); the Feigin Tower for pediatric research; Texas Children's Pavilion for Women, a comprehensive obstetrics/gynecology facility focusing on high-risk births; Texas Children's Hospital West Campus, a community hospital in suburban West Houston; Texas Children's Hospital The Woodlands, the first hospital devoted to children's care for communities north of Houston; and Texas Children's Hospital North Austin, the new state-of-the-art facility providing world-class pediatric and maternal care to Austin and Central Texas families. We have also created Texas Children's Health Plan, the nation's first HMO focused on children; Texas Children's Pediatrics, the largest pediatric primary care network in the country; Texas Children's Urgent Care clinics that specialize in after-hours care tailored specifically for children; and a global health program that is channeling care to children and women all over the world. Texas Children's Hospital is affiliated with Baylor College of Medicine, one of the largest, most diverse and successful pediatric programs in the nation. 

 To join our community of 15,000+ dedicated team members, visit texaschildrenspeople.org for career opportunities.

 Texas Children's is proud to be an equal opportunity employer. All applicants and employees are considered and evaluated for positions at Texas Children's without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, gender identity, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.


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