Apple · 3 months ago
Lead Big Data Engineer - Wallet, Payments & Commerce
Austin, Texas, United States
Full-time
Onsite
Senior Level
5+ years expApple is where individual imaginations gather together, committing to the values that lead to great work. We are looking for engineers who enjoy both hands-on technical work and designing thoughtful, scalable services for Wallet and Apple Pay. You will design and deliver privacy-first, reliable, and quality-focused data products and platforms that enable trusted, compliant data usage across the organization.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design and deliver privacy-first, reliable, and quality-focused data products and platforms that enable trusted, compliant data usage across the organization
Collaborate with cross-functional teams across time zones to ensure our data platforms meet the highest standards of trust, accuracy, and regulatory compliance
Qualification
Required
Bachelor's degree in Computer Science or a related technical field or equivalent experience
5-10 years of experience in designing, developing, and deploying data engineering for analytics or ML & AI pipelines
Expertise with data governance, security protocols, and compliance in financial data systems
Strong proficiency in SQL, Scala, Python, or Java, with hands-on experience in data pipeline tools (e.g., Apache Spark, Kafka, Airflow), CI/CD practices, and version control
Familiarity with cloud platforms (AWS, Azure, GCP) and data management and analytics tools like Snowflake, Databricks and Tableau
Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization
Proven experience building data quality frameworks (validation, profiling, anomaly detection, synthetic data generation)
In-depth knowledge of privacy-preserving techniques and compliance in financial systems
Excellent problem-solving and analytical skills, with the ability to influence stakeholders and drive adoption of best practices
Preferred
Experience authoring technical and instrumentation specs, and working with APIs and message schemas (MSDs)
Proven ability to design reusable frameworks, tools, and automation to accelerate platform adoption
Hands-on experience with distributed querying (Trino), real-time analytics (OLAP), near-real-time processing (NRT), and data mesh architectures
Familiarity with Generative AI/LLM applications for test generation, anomaly detection, documentation automation, and privacy-safe synthetic data creation
Demonstrated ability to mentor engineers in data quality, privacy, and compliance best practices
Experience in Fintech, Wallet, Payments, or Digital Commerce domains, including regulatory considerations
Track record of independent problem-solving, sound technical judgment, and delivering impactful results at scale
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase