Services Finance Data Engineer

Summary Services Finance Data Science and Engineering team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. You will provide a key function in shaping the success of Apple's current and future products. As members of the Services Finance Data Science and Engineering team, we work with various business and engineering teams to understand current and future business initiatives. We need to be persistent and flexible in extracting data from various sources, cleaning and curating this data, and then clearly and concisely communicating insights. Description The individual in this role will collaborate with data scientists, business analysts and subject matter experts (SME) to acquire, and transform raw data and develop sophisticated data products. This includes developing and maintaining data pipelines, extracting from different sources (databases, APIs, etc.), and transforming raw data into normalized tables after running data quality checks. A successful data engineer is skilled in taking a business problem and translating it into a data solution in close collaboration with data scientists, business analysts, and SMEs. Minimum Qualifications Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines Advanced SQL skills for complex transformations, optimization, and troubleshooting A Bachelor's degree in Statistics, Computer Science, Computer Engineering, or equivalent practical experience Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses Ability to work both independently and within a team environment Strong written and verbal communication skills, capable of explaining technical results to a non-technical audience Preferred Qualifications Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc. Understanding of dimensional modeling, data warehousing concepts, medallion and data lakehouse architectures Hands-on experience with building ETL process and writing unit tests using DBT or similar tools 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 $118,500 and $197,500, 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.

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Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.