Data Analytics Engineer Jobs in Cupertino, CA
Data Analytics Engineer jobs in Cupertino, California are in active demand, with employers like Apple, Amazon Web Services, and Speechify among those hiring. Find a role that fits below and apply directly.
Find Data Analytics Engineer JobsOverview
Open roles37
Top employerApple
Work type75% On-site
Top credentialBachelor's
Companies hiring3
Showing 5 of 37+ Data Analytics Engineer jobs
Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning
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Added 1w ago
Amazon Web Services
Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning
Cupertino, California
Added 1w ago
Senior Data Engineer - Music Services Operations Analytics & Strategy
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Added 1w ago
Apple
Senior Data Engineer - Music Services Operations Analytics & Strategy
Cupertino, California
Added 1w ago
US Sales Financial Analyst, Demand Forecasting & Analysis
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Added 2w ago
Apple
US Sales Financial Analyst, Demand Forecasting & Analysis
Cupertino, California
Added 2w ago
Data Analytics Engineer - Apple Services Engineering
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Added 3w ago
Apple
Data Analytics Engineer - Apple Services Engineering
Cupertino, California
Added 3w ago
Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning
We won't show you this job again
Added 1mo ago
Amazon Web Services
Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning
Cupertino, California
Added 1mo ago
Added 1w ago
Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning
Amazon Web Services·Cupertino, California
Job functions:
$136k - $213k/yr
1+ yr exp.
Bachelor's
Full Time
Job Description
DESCRIPTION
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
- Develop & maintain flows for block and full-chip level static timing analysis
- Write, debug & validate timing constraints for blocks and full-chip.
- Run Static Timing Analysis and give frequent feedback to team members and leads.
- Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues).
- Develop scripts to automate running timing analysis and generate reports.
- Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams
BASIC QUALIFICATIONS
- Experience scripting or coding
- BS + 6yrs or MS + 4yrs or PhD + 2yr in EE/CS
- Expertise in timing analysis fundamentals
- 1+ years doing Static Timing Analysis
- 1+ years with timing constraint development
- Timing Analysis using EDA tools (examples: PrimeTime, Tempus, or others)
- Understanding of ASIC Physical Design from RTL-to-GDSII
- Understanding of other sign-off activities (ir/em, physical verification, DFT)
- 1+ years of scripting experience with Tcl, Perl or Python
PREFERRED QUALIFICATIONS
- Experience in mentoring, leading and coaching
- Expertise developing flows using STA tools (examples: PrimeTime, Tempus or others)
- Expertise in ECO flows (examples: PT-DMSA, Tempus-ECO, Tweaker or others)
- Expertise in parasitic extraction tools (examples: STAR-RC, Quantus or others)
- Expertise on circuit level analysis using tools like SPICE / SPECTRE
- Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
Amazon Web Services
Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning
Cupertino, California
Added 1w ago
Job functions:
$136k - $213k/yr
1+ yr exp.
Bachelor's
Full Time
Job Description
DESCRIPTION
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
- Develop & maintain flows for block and full-chip level static timing analysis
- Write, debug & validate timing constraints for blocks and full-chip.
- Run Static Timing Analysis and give frequent feedback to team members and leads.
- Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues).
- Develop scripts to automate running timing analysis and generate reports.
- Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams
BASIC QUALIFICATIONS
- Experience scripting or coding
- BS + 6yrs or MS + 4yrs or PhD + 2yr in EE/CS
- Expertise in timing analysis fundamentals
- 1+ years doing Static Timing Analysis
- 1+ years with timing constraint development
- Timing Analysis using EDA tools (examples: PrimeTime, Tempus, or others)
- Understanding of ASIC Physical Design from RTL-to-GDSII
- Understanding of other sign-off activities (ir/em, physical verification, DFT)
- 1+ years of scripting experience with Tcl, Perl or Python
PREFERRED QUALIFICATIONS
- Experience in mentoring, leading and coaching
- Expertise developing flows using STA tools (examples: PrimeTime, Tempus or others)
- Expertise in ECO flows (examples: PT-DMSA, Tempus-ECO, Tweaker or others)
- Expertise in parasitic extraction tools (examples: STAR-RC, Quantus or others)
- Expertise on circuit level analysis using tools like SPICE / SPECTRE
- Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
See All 37 Data Analytics Engineer Jobs in Cupertino
Find roles in Cupertino that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Cupertino
Who's Hiring
- Apple33
- Amazon Web Services3
- Speechify1
Top Industries Hiring
- Electronics & Hardware32
- Distribution & Wholesale3
- Technology & Software1
- Banking & Financial Services1
Data Analytics Engineer Jobs in Cupertino: Frequently Asked Questions
How many data analytics engineer jobs are there in Cupertino?
There are 37+ data analytics engineer openings in Cupertino, California on Migrate Mate as of June 2026. New positions post regularly as Cupertino employers hire.
Which companies hire data analytics engineers in Cupertino?
Companies currently hiring data analytics engineers in Cupertino include Apple, Amazon Web Services, and Speechify, per current listings on Migrate Mate as of June 2026.
Are there remote data analytics engineer jobs in Cupertino?
Yes. About 25% of data analytics engineer openings tied to Cupertino are remote or hybrid as of June 2026. The rest are on-site roles based in and around Cupertino.
Which industries hire the most data analytics engineers in Cupertino?
Most data analytics engineer openings in Cupertino sit in Electronics & Hardware, Distribution & Wholesale, and Technology & Software, per current listings on Migrate Mate as of June 2026.
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See All 37 Data Analytics Engineer Jobs in Cupertino
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