Lead Big Data Engineer - Wallet, Payments u0026 Commerce jobs in United States
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Apple · 6 hours ago

Lead Big Data Engineer - Wallet, Payments u0026 Commerce

Apple is where individual imaginations gather together, committing to the values that lead to great work. We are seeking a pragmatic Senior Big Data Engineer to help build and optimize data, analytics, and ML enablement solutions, collaborating with cross-functional teams to ensure our data platforms meet the highest standards of trust and compliance.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
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Comp. & Benefits
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H1B Sponsor Likelynote

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

Data engineeringData governanceSQLCloud platformsPythonScalaJavaData warehousingData modelingData quality frameworksAnalytical skillsProblem-solvingMentoringTechnical documentationCollaboration

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 is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

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 Company
Total Funding
$5.67B
Key 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

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase