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Data Operations Engineer Jobs (NOW HIRING)

Principal Engineer, Data Operations

Manhattan, NY · On-site

$126K - $151K/yr

How You'll Make an Impact As the Principal Engineer, Data Operations, you will serve as a principal technical authority for enterprise Data Operations, defining scalable architecture, standards, and ...

The Data Operations Lead will manage the execution and scaling of the company's data operations ... Work with engineering to ship tooling improvements, track operational metrics, and identify gaps ...

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from our competitors. We take immense pride in providing top-quality data to our customers, while also ...

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

Responsibilities : • We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of ...

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Position Summary Reporting to the Engineering Program Director, the Data Analytics and Operations Engineer is responsible for maintaining and supporting the organization's analytics ecosystem ...

Software/DevOps Engineer

$120K - $140K/yr

... s Engineer operates within an existing cloud and application environment, focusing on reliability ... Build and enhance data ingestion components, including integrations, transformations, and ...

KEY RESPONSIBILITIES Operational Data Engineering * Design, build and maintain pipelines that ... consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk and other operational sources ...

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Data Operations Engineer information

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How much do data operations engineer jobs pay per year?

As of Sep 2, 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 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.
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 August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.

Senior Data Operations Engineer

Texas Children's Hospital

Houston, TX • On-site

$101K - $137K/yr

Full-time

Re-posted 4 days ago


Texas Children's Hospital rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

85th of 1,064 rated hospitals


Job description


We're searching for a Senior Data Operations Engineer, someone who works well in a fast-paced setting. In this position, you'll provide advanced leadership in the design, development, governance, and optimization of operational data and analytics solutions.
Think you've got what it takes?
Job Duties & Responsibilities
• Leads the design, build, and ongoing optimization of complex data marts, dashboards, and reporting solutions that support operational, clinical, quality, and strategic decision-making
• Ensures analytics solutions are scalable, sustainable, and aligned with enterprise data architecture and reporting standards
• Acts as a primary senior point of contact between operational/clinical leaders and IS for data, reporting, and analytics initiatives
• Establishes and leads data quality strategies, validation processes, and monitoring frameworks for assigned operational domains
• Ensures data integrity, continuity, and accuracy through system changes and new implementations
• Leads development and implementation of new or enhanced data-driven processes that improve operational performance, quality outcomes, and efficiency
• Maintains deep expertise in source systems, workflows, data models, and reporting structures across assigned clinical and operational areas
• Participates in and influences committees, workgroups, and initiatives related to data, analytics, and operational performance
Skills & Requirements
• Bachelor's degree in computer science, business administration, healthcare administration, business, technology, science or healthcare field required
• Master's degree in computer science, business administration, healthcare administration, business, technology, science or healthcare field preferred
• 7 years of progressive experience in data operations, analytics, business intelligence or related roles, preferably in complex healthcare or operational environments, required
• Experience working with cloud data warehouses and/or data lakes preferred
• Master's degree in computer science, business administration, healthcare administration or other business or technology field may substitute for two (2) years of required experience
About Us
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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