Senior Data Quality Platform Engineer **San Diego, California, United States** **Operations and Supply Chain** **Summary** Posted: **Jul 29, 2025** Weekly Hours: **40** Role Number: **200611102** 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! The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! In this role, you will lead the development and implementation of cloud-based data applications with a focus on big data, data quality, governance, and machine learning. You will collaborate closely with cross-functional teams to gather data requirements, design scalable solutions, and ensure the accuracy, integrity, and availability of MSI data. The ideal candidate will bring a deep understanding of data engineering best practices, cloud-native architectures, and ML platform development. **Description** • Define and drive the roadmap for scalable data processing, data quality systems, and GenAI-focused data platform capabilities. • Architect, develop, and maintain critical data pipelines, data lakes, and model serving infrastructure with a focus on reliability, scalability, and performance. • Design and implement scalable, cloud-native data architectures with a strong emphasis on data quality, integrity, and governance. • Collaborate with data scientists, product teams, and platform engineers to build reusable, production-grade Data Quality and ML/GenAI workflows. • Continuously evaluate emerging technologies to improve data and ML infrastructure. **Minimum Qualifications** + Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. + 8+ years of experience in software or data engineering, with 2+ years in a technical leadership or management role is a plus. **Preferred Qualifications** + Proven software development, debugging, and problem-solving skills with proficiency in one or more languages: Python, Java, or Scala, Go. + Deep expertise in Big Data technologies such as Apache Spark, Kafka, Hive, Iceberg, Trino, Airflow or Flink. + Solid understanding of cloud platforms, preferably AWS, and experience building cloud-native systems. + Strong experience with modern data warehouse solutions like Apache Pinot, Snowflake, or Druid. + Hands-on experience with containerization and orchestration tools such as Kubernetes, Docker, and Helm. + Familiarity with machine learning workflows, including model training and deployment using tools like MLflow, Kubeflow, or Airflow, is a plus. + Exposure to front-end or UI technologies is a plus. + Strong people management and cross-functional collaboration skills. **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 $163,300 and $245,800, 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.