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Data Operations Engineer Jobs (NOW HIRING)

Apple

ML Data Operations Engineer

Cupertino, CA · On-site

Description Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress ...

Huron

Data Operations Engineer Associate

Chicago, IL · On-site

$100K - $145K/yr

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 ...

Apple

ML Data Operations Engineer

Cupertino, CA

$184K - $324K/yr

Description Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$110K - $132K/yr

They are seeking a Software Data Operations Engineer to analyze existing systems, develop specifications, and verify implementation for cloud-based solutions. Responsibilities : • Collect ...

MAQ Software

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 ...

MAQ Software

Software Data Operations Engineer

Redmond, WA · On-site

$85K - $120K/yr

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 ...

Huron

Data Operations Engineer Associate

$117K - $140K/yr

The Data Operations Engineer Associate is responsible for building and maintaining data pipelines, ensuring data quality, and supporting analytics solutions for healthcare organizations.

MAQ Software

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 ...

Nightwing

DevOps Engineer

Arlington, VA · On-site

$60.75 - $83.25/hr

Nightwing provides advanced cyber and data operations services and is seeking a DevOps Engineer to support U.S. Government customers. The role involves automating and optimizing the deployment of ...

Sirius XM

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 ...

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Showing results 21-40

All JobsData Operations Engineer Jobs

Data Operations Engineer information

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$36K

$85K

$135K

How much do data operations engineer jobs pay per year?

As of Aug 12, 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 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 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.
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:
Data Operations Engineer jobs near you
Infographic showing various Data Operations Engineer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. 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.

ML Data Operations Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted 22 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.
Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not just coordinating logistics, but developing a genuine technical understanding of the ML experiments you support. You will be responsible for the hands-on bring-up, execution, and quality oversight of internal data collection studies, operating in a highly collaborative and technically demanding cross-functional environment
Minimum Qualifications
Bachelor's degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent combination of education and relevant experience.
Experience supporting or executing human user studies, behavioral research, or data collection operations in an academic or industry setting.
Track record of partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications.
Preferred Qualifications
10 years of experience in user research operations, data collection coordination, or a related technical operations role.
Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices.
Experience working directly with engineering and science teams, with comfort reading technical documentation, data schemas, or experiment specifications.
Familiarity with handling sensitive human data and adhering to strict privacy and consent protocols.
Highly organized self-starter who can manage multiple concurrent internal studies with minimal oversight.
Strong interpersonal and written communication skills, with the ability to collaborate fluidly across both technical and non-technical stakeholders.
Strong attention to detail with the ability to identify data anomalies and inconsistencies during live collection.

What Apple employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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