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Data Engineer
Data Engineer-February 2024
Cupertino
Feb 11, 2026
About Data Engineer

  Data Engineer

  Santa Clara Valley (Cupertino),California,United States

  Sales and Business Development

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  Summary

  Posted:Jan 16, 2024

  Weekly Hours: 40

  Role Number: 200533571

  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! Apple is seeking an experienced, detail-minded data engineer to join our Worldwide Sales Team, Data Solutions & Initiatives (DSI). DSI is a product strategy and engineering team that works closely with business development and sales finance. If you are someone who looks forward to solving complex business problems and is excited about this opportunity, please reach out to us.

  Key Qualifications

  8+ years of hands-on experience in data architecture, dimensional modeling, data warehousing and data engineering

  Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive

  Proficiency in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang) and workflow management tools like Airflow

  Proficiency in advanced SQL, performance tuning

  Experience with modern data architecture like data lakes, data lakehouse and cloud computing platforms like AWS, Google Cloud

  Experience with version control systems, CI/CD practices, testing, and migration tools for database and software

  Ability to learn and adapt to new tools and technologies, in a fast paced environment

  Exhibit excellent oral and written communication skills, with the ability to work individually, navigating through ambiguity or as part of a team

  Description

  We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams. Data quality is our goal and we expect you to meet our high standards on data and software quality. As part of this role, you will: * Architect, develop, and test large scale data solutions, to provide efficient analytical and reporting capabilities across Apple’s global and regional sales and finance teams. * Develop highly scalable data pipelines to load data from various source systems, use Apache Airflow to orchestrate, schedule and monitor the workflows. * Build generic and reusable solutions that can scale and utilize various technologies and frameworks to solve our complex business requirements. * Ensure data quality through setting up data quality management frameworks and anomaly detection capabilities. * Be required to understand existing solutions, fine-tune them and support them as needed.

  Education & Experience

  BS or MS in Engineering/ Computer Science

  Additional Requirements

  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 $170,700.00 and $256,500.00, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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.Apple Footer

  Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .

  Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

  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 (opens in a new window) applicable in your area.

  Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .

  Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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