Senior Data Engineer - Data Products, Apple Ads

Apple • New York, NY

2h

About The Position

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

Requirements

• 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

Nice To Haves

• 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
• Most importantly, a sense of humor and an eagerness to learn

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level