Data Engineer, PART DataOps

Data Engineer, PART DataOps

Apple is seeking an experienced, detail-minded data engineering team lead to join our Finance Process, Analytics, Reporting & Technology (PART) Data Operations team. You will lead a team of data engineers delivering trustworthy, high-quality data to our Retail Finance analysts. If you are someone who looks forward to solving complex business problems, developing engineering talent, and building reliable data foundations, please reach out to us.

You will lead a team of data engineers to architect, develop, and test large scale and efficient solutions that provide Apple leadership with the accurate data required to rapidly understand and adapt to changing business conditions. We are a 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, develop others, and work with cross functional teams.

Responsibilities

• Lead, mentor, and develop a team of data engineers, setting technical standards and fostering a culture of engineering excellence
• Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
• Establish and maintain data quality frameworks, including automated validation, monitoring, and alerting
• Create data products, enabling self-service and predictability by any consumer
• Build libraries and frameworks that drive leverage and productivity for the entire team
• Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence
• Manage team workload and priorities, balancing competing demands while maintaining quality

Minimum Qualifications

• 6+ years software engineering, including strong SQL and data focus
• BS in Engineering / Computer Science

Preferred Qualifications

• 2+ years leading or mentoring other engineers
• Expertise in languages like Python and technologies like Airflow, Spark, Trino, Kafka, Docker, Iceberg, Databricks
• Hands-on experience with database design and architecture in cloud data warehouses and lakehouse environments
• Ability to analyze complex datasets and design solutions with optimum quality and efficiency
• Appreciation for data quality and validation in every pipeline
• Familiarity with SDLC best practices, version control, CI/CD
• Strong communication skills with the ability to translate between technical and business contexts
• Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage
• Experience with streaming interfaces and pipelines
• Finance and accounting process experience

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 $146,300 and $244,100, 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 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.