Data Operations Specialist Jobs
Data Operations Specialist jobs are open across fintech, healthcare, logistics, and enterprise technology, from entry-level analysts to senior and lead specialists, with concentrations in data quality, pipeline management, and reporting operations. See the openings below and apply to the ones that match your experience.
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Showing 5 of 112+ Data Operations Specialist jobs
Candidates must be able to work 100% onsite.
Minimum qualifications:
- Experience with performing component-level repairs and troubleshooting on technical equipment.
- Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
- Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
- Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
- Must be available to travel to support business priorities as operationally required.
Preferred qualifications:
- Bachelor's degree or equivalent practical experience.
- Completion of the online Google IT Support Professional Certificate program.
- 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
- Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).
- Experience working within a data center or network operation center environment.
- Ability to collaborate and partner with teams to overcome challenges, and to adapt to changes in a dynamic work environment.
About the job
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $86000 - $118000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deploy and operate new data center infrastructure across projects or functions.
- Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.
- Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.
- Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.
- Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.
Candidates must be able to work 100% onsite.
Minimum qualifications:
- Experience with performing component-level repairs and troubleshooting on technical equipment.
- Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
- Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
- Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
- Must be available to travel to support business priorities as operationally required.
Preferred qualifications:
- Bachelor's degree or equivalent practical experience.
- Completion of the online Google IT Support Professional Certificate program.
- 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
- Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).
- Experience working within a data center or network operation center environment.
- Ability to collaborate and partner with teams to overcome challenges, and to adapt to changes in a dynamic work environment.
About the job
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $86000 - $118000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deploy and operate new data center infrastructure across projects or functions.
- Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.
- Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.
- Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.
- Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.
Data Operations Specialist Jobs by Experience Level
See All 112+ Data Operations Specialist Jobs
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Find JobsData Operations Specialist Job Market
Who's Hiring
- Amazon22
- JBS INTERNATIONAL15
- Oscar Management Corporation4
- Rackspace Technology3
- ABB2
Top Industries Hiring
- Insurance
- Manufacturing
- Technology & Software
- Energy
- Automotive
What Employers Look For
The qualifications that appear most often in data operations specialist jobs.
- Proficiency in SQL for querying, transforming, and validating large datasets
- Experience with ETL or ELT tools and data pipeline development or maintenance
- Familiarity with data warehousing platforms such as Snowflake, BigQuery, or Redshift
- Strong attention to detail for data quality monitoring and error resolution
- Bachelor's degree in information systems, computer science, or a related field
- Experience with data governance practices, documentation, and metadata management
Tips for Your Data Operations Specialist Job Search
Tailor your resume to data tooling
Data operations specialist roles vary widely by tech stack. List the specific tools you've used, whether that's SQL, dbt, Airflow, or ETL platforms, in a dedicated skills section so hiring managers can match your background to their environment at a glance.
Quantify your data quality wins
Hiring managers want evidence you've reduced error rates, improved processing times, or caught pipeline failures before they reached downstream systems. Replace vague bullet points with outcomes: what broke, what you fixed, and what improved as a result.
Apply early to roles that fit
Migrate Mate lists data operations specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your stack
Filter for job titles and descriptions that name the exact tools you know. A role requiring dbt and BigQuery calls for a different pitch than one built around Informatica and Oracle, so matching your stack to the posting sharpens your application significantly.
Prepare for a technical screening exercise
Most data operations interviews include a take-home or live exercise involving SQL queries, data cleaning scenarios, or troubleshooting a broken pipeline. Practice narrating your diagnostic process out loud, not just arriving at the right answer, since interviewers evaluate your reasoning as much as your result.
Negotiate scope, not just compensation
When you receive an offer, ask which data systems you'd own, what the escalation path looks like for critical failures, and whether the team is growing. These answers reveal whether the role is a maintenance job or a build opportunity, which matters as much as the pay.
Data Operations Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data operations specialists?
The most active employers for data operations specialists right now are Amazon, JBS INTERNATIONAL, and Oscar Management Corporation, and the most openings are in California, Virginia, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is especially consistent at companies scaling their data infrastructure or undergoing cloud migration.
How many data operations specialist jobs are remote?
About 28% of data operations specialist openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility in this role. Sub-areas like data quality monitoring, reporting operations, and pipeline support tend to be the most remote-friendly, since the work is tool-driven and rarely requires on-site presence.
How do you become a data operations specialist?
Start by building proficiency in SQL and at least one ETL or pipeline tool, since those are the core technical requirements in most postings. A degree in information systems, computer science, or a related field helps, but hands-on project experience with data cleaning, transformation, or pipeline monitoring carries significant weight. Entry-level roles in data analyst or data coordinator positions are common starting points that build directly toward this title.
Can you get a data operations specialist job with little experience?
Yes, entry-level data operations specialist roles exist, particularly at companies building out their data teams for the first time. Employers in those situations prioritize candidates who can demonstrate SQL fluency, attention to detail in data validation work, and familiarity with at least one cloud data platform. Personal projects, bootcamp coursework, or internship experience with real datasets can substitute for formal job history in early applications.
What does the data operations specialist interview process look like?
Most processes include an initial screening call, a technical assessment involving SQL queries or a data cleaning scenario, and a final-round interview with the data engineering or analytics team. Some employers add a pipeline troubleshooting exercise where you diagnose a broken or inconsistent data flow. Interviewers typically probe your data quality instincts, your process for handling upstream errors, and how you communicate issues to non-technical stakeholders.
Where can I find and apply to data operations specialist jobs?
You can find and apply to data operations specialist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience level and tech stack, then apply directly to each listing that fits.
See All 112+ Data Operations Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
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