Data Operations Associate Jobs
Data Operations Associate jobs are open across fintech, healthcare, logistics, and enterprise SaaS, from entry-level to senior associate, with specializations in data quality, pipeline support, and reporting operations. Scan the live roles below and apply to whichever ones fit.
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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.
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Find JobsData Operations Associate Job Market
Who's Hiring
- Amazon21

- JPMorganChase4

- Wesco3

- Google2

- Rackspace Technology2

Top Industries Hiring
- Energy
- Automotive
- Manufacturing
- Food & Beverage
- Telecommunications
What Employers Look For
The qualifications that appear most often in data operations associate jobs.
- Proficiency in SQL for querying and manipulating structured datasets
- Experience with spreadsheet tools such as Excel or Google Sheets at an intermediate or advanced level
- Familiarity with CRM, ERP, or data management platforms used in the industry
- Strong attention to detail with demonstrated ability to identify and resolve data discrepancies
- Bachelor's degree in business, information systems, or a related field, or equivalent experience
- Experience with reporting tools such as Tableau, Power BI, or Looker
Tips for Your Data Operations Associate Job Search
Tailor your resume to data tools
Data operations associate roles often filter resumes on specific tools like SQL, Excel, Tableau, or Salesforce. Name the exact platforms you've used and describe what you did with them, not just that you know them.
Highlight data quality and accuracy work
Hiring managers for these roles care deeply about your attention to data integrity. Call out instances where you caught errors, resolved data discrepancies, or built checks into a workflow, even if the scope was small.
Apply early to roles that fit
Migrate Mate lists data operations associate 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 industry
Data operations work differs significantly between healthcare, e-commerce, and financial services. Search for openings that name your industry background, since domain familiarity with the underlying data often matters as much as technical skills.
Prepare a SQL or Excel task for interviews
Many data operations associate interviews include a short technical screen, often a SQL query or a data cleanup task in Excel. Practice writing queries that filter, join, and aggregate, and be ready to walk through your logic out loud.
Negotiate scope alongside salary
When you receive an offer, clarify what tools and datasets you'll own day one versus inherit. Understanding whether you're building processes or maintaining existing ones shapes your leverage and helps you assess whether the role fits your goals.
Data Operations Associate Jobs: Frequently Asked Questions
Which companies are hiring the most data operations associates?
The companies hiring the most data operations associates right now include Amazon, JPMorganChase, and Wesco, with the largest share of openings in Washington, California, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in companies undergoing data infrastructure buildouts or CRM migrations.
How many data operations associate jobs are remote?
About 57% of data operations associate openings are fully remote or hybrid as of November 2026, with remote availability varying by company size and industry. Sub-specializations focused on reporting, data entry support, and pipeline monitoring tend to have the highest share of remote-eligible postings, while roles tied to physical operations or on-site system access are more often in-person.
How do you become a data operations associate?
Start by building proficiency in SQL and at least one spreadsheet tool, since those appear in nearly every job posting for this role. Pair that with hands-on experience managing or cleaning a real dataset, through coursework, a side project, or an internship. Familiarity with a CRM or data management platform strengthens your application, and a degree in business, information systems, or a related field is a common baseline employers expect.
Can you get a data operations associate job with little experience?
Yes, entry-level data operations associate roles exist and often accept candidates with limited professional experience if you can demonstrate practical skills. Build a portfolio with a SQL project or a cleaned public dataset, highlight any coursework in data management or business analytics, and target smaller companies or startups that are more willing to train. Internships, contract roles, and temp-to-perm positions are common entry points into this career.
What does the data operations associate interview process look like?
Most data operations associate interview processes include an initial recruiter screen, a hiring manager conversation focused on your data experience, and a technical assessment. The technical portion typically involves a SQL task, an Excel or spreadsheet exercise, or a scenario asking how you'd resolve a data quality issue. Some employers add a final round with a cross-functional team member to assess how you communicate data findings to non-technical stakeholders.
Where can I find and apply to data operations associate jobs?
You can find and apply to data operations associate jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your skills and experience level, then apply directly to each listing that fits. The openings update regularly, so checking back often gives you access to newly posted roles before competition builds.
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