Cupertino, CA

Data Jobs in Cupertino, CA

3 jobs found

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17d ago

Data Analyst

Tata Consultancy Services Cupertino, CA

Cupertino, CA

17d ago

$90k - $140k/yr Full time Analyst Analytics Artificial Intelligence

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Job Description

Tata Consultancy Services is seeking a data analyst in Cupertino, CA who will turn data into actionable guidance for global product launches. The role emphasizes analytics-driven problem solving, compelling data storytelling, and the creation of scalable dashboards to deliver data-driven insights for senior leadership and cross-functional teams.

Responsibilities

Solve complex business problems through analytics to uncover actionable insights that inform product strategy and cross-functional operations.
Tell data stories that translate findings into clear, compelling narratives for leadership and partner teams.
Build scalable dashboards that provide timely, accessible data for global product launches.
Proficiency in SQL, Python, Tableau, Snowflake, and AI tools such as ChatGPT and Claude to support data analysis and automation.
Experience developing Snowflake ETL pipelines to integrate data from multiple sources.
Deliver insights to leadership to guide strategic decisions and drive business impact.
Partner with cross-functional teams including product, operations, and finance to identify business problems and deliver data-driven solutions for global product launches.

Requirements

Python
SQL
Tableau
Snowflake
AI tools (ChatGPT, Claude)

Technologies

Python
SQL
Tableau
Snowflake
ChatGPT
Claude

Location

Cupertino, CA

Job Function

Technology

Role

Analyst

Job ID

416980

Salary Range

$90,000-$140,000 a year

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1mo ago

Senior Data Engineer

Apple Cupertino, CA

Cupertino, CA

1mo ago Closed

$172k - $306k/yr Full time Senior Ai Ml Analytics

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

Apple is seeking a Senior Data Engineer to design and deploy scalable, AI-ready data pipelines that power analytics across Apple Music, Video, and Books. This role fuses rigorous systems engineering with close business partnership to build modular infrastructure that can scale to massive workloads. The ideal candidate will own production data systems and drive self-service analytics across the organization.

Responsibilities

Design and scale modular data pipelines capable of handling Apple Music's enormous data volumes, delivering dependable self-service data products with clear contracts and SLAs for internal teams, data scientists, and external partners to consume confidently.
Identify and integrate AI-enabled tooling, automation, and advanced analytics workflows into current data systems. Explore how large language models, retrieval-augmented generation pipelines, and emerging technologies can elevate capabilities and efficiency.
Build robust validation frameworks to sanitize unpredictable feeds, implement automated data assertions, lineage tracking, anomaly detection, and monitoring to ensure transparency and reliability across the production data lifecycle.
Partner with data scientists, analysts, and cross-functional stakeholders to deliver structured, high-performance datasets backed by clear SLAs, accelerating insights and reducing ad-hoc engineering requests.
Collaborate effectively across Analytics, Operations, Engineering, and Partner teams; translate ambiguous requirements into resilient engineering solutions aligned with organizational priorities.
Lead the team's evolution toward scalable, self-service analytics; enforce CI/CD practices, mentor peers, and foster a data engineering culture focused on quality, reliability, and continuous improvement.

Requirements

7+ years of professional experience in data engineering or systems architecture, with a proven history of owning production data systems at massive scale and processing billions of records in high-volume environments.
Advanced proficiency in Python and SQL, with hands-on experience across distributed data processing frameworks (such as PySpark/Spark), modular software design, and automated testing methodologies.
Extensive experience designing and operating CI/CD pipelines, automated deployment workflows, and version-controlled data infrastructure.
Proven expertise in data quality management, resolving complex taxonomy mapping issues, and implementing programmatic anomaly detection on large datasets.
Strong ability to lead projects, influence cross-functional teams, and drive consensus in a matrixed organization by translating stakeholder needs into scalable, well-scoped technical solutions.
Exceptional written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences and influence stakeholders at all levels.
Strong aptitude for logical reasoning, critical thinking, and complex problem-solving.
Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or a related technical field.

Technologies

Python
SQL
PySpark
Spark
Apache Iceberg
Delta Lake
Tableau
Superset
SPARQL
Graph databases
LLMs
RAG pipelines

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and access to free services
Reimbursement for certain educational expenses, including tuition
Discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Discounted Apple stock via the Employee Stock Purchase Plan
Discretionary bonuses or commission payments
Relocation assistance

Description

The Senior Data Engineer will architect and deploy robust, AI-ready data pipelines that underpin our analytics capabilities. The role requires deep systems engineering discipline combined with strong business partnership, with a track record of operating at massive scale and delivering extensible, modular systems that span Music, Video, and Books.

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1mo ago

Data Analytics Engineer

Apple Cupertino, CA

Cupertino, CA

1mo ago Closed

$147k - $272k/yr Full time Analytics Apache Airflow Big Data

This position is no longer accepting applications (closed Jul 8, 2026).

Job Description

Apple invites a Data Analytics Engineer to join the Apple Games App Data Engineering team in Cupertino, CA, onsite, to develop analytics solutions and derive insights from large-scale gaming data with emphasis on privacy, scalability, and collaboration with developers and partners.

Responsibilities

In this role within the Apple Games App Data Engineering group, you will help steer the team's strategic priorities.
This position centers on software engineering.
We develop robust production-grade software rather than ad hoc scripts.
Our systems process dozens of terabytes of gaming and player engagement data daily.
Solutions must be efficient, scalable, and reliable.
Data is the primary product and central concern of our work.
We value accurate, high-quality data as much as we value clean, maintainable code.
The insights generated support Apple leadership and game developers with understanding player behavior, tracking innovations, and identifying future gaming trends.
You will contribute to building analytics solutions tailored for game developers, leveraging experience with the third-party gaming analytics ecosystem to create leading tools.
Success here requires championing world-class analytical capabilities.
As a team member, your ideas, concerns, and viewpoints are welcomed in collaborative discussions.
Our culture is highly collaborative.
You will work closely with engineering, product, and partner teams.
Privacy is a core engineering requirement and our solutions are designed to align with Apple privacy principles from the outset.
The team is compact and focused, with engineers addressing a broad range of problems.

Requirements

Strong foundation in software engineering principles, including algorithms and data structures.
Self-driven, motivated, with the ability to produce architecture and design documents.
Ability to translate cross-functional requirements into concrete engineering tasks.
Excellent communication skills and demonstrated experience working across functional teams.
Bachelor's degree in Computer Science, Engineering, or an equivalent combination of education and experience.
Experience building analytics and data solutions targeted at game developers.
Familiarity with third-party analytics tools and platforms used in the gaming industry.
More than five years of hands-on experience building distributed data processing applications with Apache Spark or Apache Flink.
More than five years of programming experience in Scala (preferred) or Java.
Experience with big data technologies including Hadoop, HDFS, Spark, SQL, and Kafka.
Proven ability to design scalable, highly available distributed systems using Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.

Technologies

Apache Spark
Apache Flink
Scala
Java
Hadoop
HDFS
Spark
SQL
Kafka
Iceberg
Kubernetes
Airflow
Cassandra

Compensation

Base pay range: USD 147,400 - 272,100 per year. This range depends on skills, qualifications, experience, and location.

Benefits

Discretionary employee stock programs, including RSUs.
Employee Stock Purchase Plan allowing purchase of Apple stock at a discount.
Comprehensive medical and dental coverage.
Retirement benefits.
A range of discounted products and free services.
Educational expense reimbursement, including tuition.
Discretionary bonuses or commission payments.
Relocation eligibility.

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Data Jobs in Cupertino, CA

Data Analyst

Senior Data Engineer

Data Analytics Engineer

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