Senior Level Data Operations Engineer Jobs
Senior level data operations engineer jobs place experienced engineers in charge of pipeline architecture, data quality frameworks, and the cross-functional projects and teams that keep critical data systems running reliably. Openings are concentrated across on-site, remote, and hybrid settings in Electronics & Hardware and Telecommunications, with employers like Apple, Amazon, and Granite Telecommunications hiring at this level now.
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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.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,800 and $249,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,800 and $249,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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- Electronics & Hardware
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Senior Level Data Operations Engineer Jobs: Frequently Asked Questions
How do I get a senior level data operations engineer job?
Employers at this level expect candidates to demonstrate ownership of complex data pipelines, not just contribution to them. Highlight experience leading architecture decisions, resolving production incidents at scale, and mentoring junior engineers. Familiarity with data observability, orchestration tools like Airflow or Dagster, and cloud-native infrastructure gives candidates a clear edge over those with purely hands-on execution backgrounds.
Which companies hire senior level data operations engineers?
Companies hiring senior level data operations engineers right now include Apple, Amazon, and Granite Telecommunications, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from organizations with mature data platforms, including large technology firms, financial services companies, and healthcare systems that depend on reliable, high-volume data infrastructure.
Are there remote senior level data operations engineer jobs?
Yes, remote and hybrid availability is strong at this level. About 0% of senior level data operations engineer openings are remote or hybrid as of November 2026, reflecting employer confidence in placing experienced engineers in distributed roles. Senior engineers with demonstrated autonomy and async communication skills are well-positioned to compete for fully remote positions.
What makes a data operations engineer role senior level?
Senior level roles are defined by scope and ownership rather than task execution. A senior data operations engineer sets standards for pipeline reliability, leads incident response, designs data quality frameworks, and shapes tooling decisions for the broader team. They are expected to mentor mid and junior engineers, collaborate directly with data consumers like analysts and product teams, and drive improvements without close supervision.
Which industries hire the most senior level data operations engineers?
Senior level data operations engineer roles concentrate in Electronics & Hardware and Telecommunications, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in this level because the complexity and volume of their data workflows demand engineers who can own reliability and scalability outcomes end to end, not just maintain existing systems.