Senior Data Engineer - Data Products, Apple Ads
At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone's privacy. Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content from the world's best journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with passionate fans. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone!
Description
The Apple Ads Data Products Engineering team is seeking a senior data engineer to join in developing the next generation of data products and analytical solutions built to empower Algo, Product, Data Insights, Sales, Marketing and Executive teams. In this role you will be a key member of the team driving the strategy, development, execution, and continuous improvement of core algo and analytical data products for Apple Ads. You will be building the foundational data architectures and pipelines for our algo and data science capabilities. You will join a team of world-class data engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our data consumers. A successful candidate will have experience building data pipelines using varied engineering technologies such as AWS, EMR, EKS, Spark, Hive, SQL, Iceberg, Snowflake, Oracle, Airflow, Datadog","responsibilities":"Use modern tools and technologies to build reliable and performant pipelines and data products 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
Preferred Qualifications
Ability to design and implement effective testing and operations strategies for data pipelines and data products
Worked in CI/CD environments
Want more jobs like this?
Get jobs in New York, NY delivered to your inbox every week.
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
Most importantly, a sense of humor and an eagerness to learn
Minimum Qualifications
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems.
Background in computer science, mathematics, or similar quantitative field with a minimum of 5 years deep experience on the required tech stack
Demonstrated ability to implement and extend highly performant, resilient, and reliable data services
Worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
Extract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale
Deep expertise in data modeling, Scala, Spark, Python, Java, Scala, SQL, Trino, Glue and/or other relevant languages and frameworks
Experience with workflow scheduling / orchestration such as Airflow
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
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 .
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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Apple.