Job Details

Senior Data Engineer

Culver City, California, United States

Software and Services

Summary

Posted: May 01, 2025

Weekly Hours: 40

Role Number: 200602760

Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. We are looking for a talented software/data engineer to join our cross-functional data science team, focusing on the deep evaluation of Maps services and features. We work directly with the Engineering and Product teams responsible for quantifying, measuring, and monitoring usage and user experiences across Maps platform. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, generative analytics, and more. This role is great for a hybrid data scientist / data engineer, or a software engineer who is looking to have a big impact while also having space to learn more about data science.

Description

You'll build data products and tools to support collaborative decision-making with our partner teams in engineering and product management. You're willing to learn fast, and adapt well to changing requirements and new technology stacks. Example projects include: building and managing high-quality data tables, pipelines and APIs from various sources including both big data at web scale as well as small curated data sets. Developing libraries to automate analysis tasks and enable data scientists to extract insight from data in scale. Identifying optimization opportunities (e.g. improving query speed, reducing memory or storage) in our data systems, and implementing those enhancements. Integrating various tools and services and provide uniform and easy access to data scientists and other partner teams.

Minimum Qualifications

• In-depth knowledge of Spark internals, able to optimize and fine-tune Spark jobs.

• Experience in developing data pipelines using Spark.

• Excellent Python programming skills, with 2+ years of relevant work experience.

• Experience in building user-friendly tools and libraries to improve efficiency and productivity of data science teams.

• Conduct hands-on data investigations and be passionate about our data and domain knowledge.

• Strong communication skills and be adaptive for changing requirements and tech stack.

• Education: Bachelor or advanced degrees in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain. Minimum 4 years industry experience working with big data technologies.

Preferred Qualifications

• Familiar with Scala and JVM as they are used in Spark applications.

• Experience in building basic web applications in Python or JavaScript.

• Familiar with the software ecosystem for big data analytics and business intelligence.

Pay & Benefits

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 $133,800 and $265,300, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.