Software Engineer - Data Platform & Data Products
Role details
Job location
Tech stack
Job description
We are looking for a Senior Engineer to help us transition from centralized data management to a scalable, self-service data mesh. In this role, you won't just move data, you will build the software and services that make data discoverable, reliable, and "product-ready" for the entire organization.
As an engineer focussed on data platform, you will operate at the intersection of Backend Engineering and Data Engineering. You will design and own data products delivered through software, including curated datasets, data services, and APIs that power analytics, applications and AI/ML use cases. This includes building batch and real-time streaming pipelines, backend services, and developer-facing tools.
You'll drive architecture, system design, and engineering standards while working closely with data, platform, and product teams. While a DevOps team supports infrastructure, you will be hands-on with cloud-native systems and own services end to end.
Requirements
7+ years of experience in software/data engineering, with focus on data architecture
Strong programming skills in Python and/or Java/Scala/Go
Proficiency in data modeling, SQL, partitioning strategies, and query optimization
Hands-on experience with modern data stack (e.g., Flink, Kafka, dbt, Airflow, Spark, Iceberg or similar)
Experience with Open Table Formats (e.g., Apache Iceberg, Delta Lake) and catalog management
Solid experience building APIs, services, and distributed systems
Proven track record of implementing CI/CD, automated testing, data quality validation, and observability (logging, metrics, tracing) for data systems
Experience with cloud and containerized systems (e.g., AWS/GCP, Kubernetes, Docker)
Preferred Qualifications
Experience building internal data platforms or developer-facing tools
Solid experience with data mesh and "Data as a Product" principles
Experience building the data foundations for GenAI or ML workflows
Knowledge of data governance, lineage, and metadata systems
Benefits & conditions
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 $181,100 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.