Description

Description

- Use modern tools and technologies to build reliable and performant pipelines and infrastructure with extreme scale requirements - Solve tough problems across the technology spectrum including designing, creating, and extending data storage, processing, and analytic solutions - Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - Must be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment

Minimum Qualifications

• 3+ years of professional experience and background in computer science, mathematics, or similar quantitative field
• Proficiency in Java as well as other relevant languages and frameworks (Spark, Python, SQL, Trino, Glue)
• Demonstrated ability to implement and extend highly performant and resilient data services
• Worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
• Experience working with distributed systems (Cassandra, Kubernetes, Docker, etc.)
• Extract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale
• Experience with workflow scheduling / orchestration such as Airflow, DBT, etc.
• Ability to take requirements from design through to implementation both independently and working collaboratively within teams
• Ability to work closely with operational teams on deployment, monitoring, management concerns
• BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems

Preferred Qualifications

• Ability to design and implement effective testing and operations strategies for data pipelines and data products
• Worked in CI/CD environments
• Experience with applying data encryption and data security standards
• Experience using one or more scripting languages (e.g., Python, bash, etc.)
• Experience supporting and working with cross-functional teams in a dynamic environment
• Understanding of modern data engineering approaches and are aware of what leading players are doing
• Experience implementing machine learning and data science workloads a plus
• Ability to communicate technical concepts to a business-focused audience
• Experience in AdTech highly desirable
• Most importantly, a sense of humor and an eagerness to learn

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 $147,400 and $272,100, 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 .