Data engineer jobs in San Carlos, CA and nearby

Within 25 miles

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Added 3 hours ago
Senior Palantir Data Engineer
Deloitte US
San Francisco, CA · San Jose, CA
…in a collaborative environment? As an experienced Palantir Data Engineer - Managed Services Engineer II you will have the ability to share new ideas and collaborate on projects as a…
Added 5 hours ago
Enterprise Analytics Data Engineer
Armanino Advisory LLC
San Ramon, CA · San Jose, CA · San Francisco, CA
Build and maintain curated Gold-layer datasets, reusable analytical data products, and business-ready transformations within Microsoft Fabric.
Added 7 hours ago
AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location
EY
Palo Alto, CA · San Mateo, CA · San Jose, CA · San Francisco, CA
To qualify for the role, you must have:
Added 11 hours ago
Data Engineer
Patelco Credit Union
Dublin, CA
The Data Engineer is a key contributor to Our Data & Analytics Strategy to transform Patelco as a Data-driven organization and position Credit Union as a Technology Leader. This position is…
Added 1 day ago
Sr. Data Engineer AI
Docusign
San Francisco, CA
(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Added 1 day ago
Sr. Data Engineer AI
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
San Francisco, CA
Added 1 day ago
Health Research Data Engineer
Apple
Sunnyvale, CA
…their health. We are seeking an energetic and self-sufficient data engineer to join Apple's Health Research Data team to help us define, process, and manage the data used to improve…
Added 1 day ago
Associate Data Engineer
Visa Technology and Operations LLC
Foster City, CA
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager
Added 1 day ago
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2027 University Graduate - Data Engineer
Adobe
San Jose, CA
- $90,000 to $164,250 USD / year
Adobe is seeking talented and passionate Data Science Engineers across all organizations. The team applies AI and machine learning techniques to big customer data to address and challenge…
Added 2 days ago
Cloud Data Engineer
Deloitte US
San Francisco, CA · San Jose, CA
As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of scalable technical solutions for client engagements.
Added 3 days ago
Data Engineer, Consultant
BSC
Oakland, CA
For most teams, this means coming into the office two days per week
Added 3 days ago
Senior Data Engineer
Capgemini
San Francisco, CA
We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities The ideal candidate…
Added 3 days ago
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Data Engineer
ManpowerGroup
San Francisco, CA
- $53 USD / hour
This engineer builds the data models that allocate, attribute, and distribute cloud costs to business dimensions, enabling showback and chargeback capabilities.
Added 3 days ago
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Data Engineer
Higgsfield
San Francisco, CA
- $200,000 to $260,000 USD / year
We're looking for a Data Engineer, B2B & GTM to build and scale the data infrastructure powering Higgsfield's enterprise business and go-to-market operations.
Added 3 days ago
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Robotics Hardware & Data Engineer
Calder
Redwood City, CA
- $144,000 to $376,000 USD / year
We're looking for a Robotics Hardware / Data Engineer to design the hardware and software interfaces that power robot teleoperation and large-scale data collection. You'll own the systems…
Added 4 days ago
Lead Data Engineer
Docusign
San Francisco, CA
(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Added 4 days ago
EU
Data Engineer
Experis USA
San Francisco, CA
- $53 USD / hour
This engineer builds the data models that allocate, attribute, and distribute cloud costs to business dimensions, enabling showback and chargeback capabilities.
Added 4 days ago
Lead Data Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
San Francisco, CA
…agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses…
Added 4 days ago
Data Engineer, Deal Intelligence & Automation, AWS GDSP
Amazon Web Services, Inc.
San Francisco, CA
The Global Deal Strategy and Programs (GDSP) organization is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the…
Added 4 days ago
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Data Engineer
Insight Global
Pleasanton, CA
- From $66 USD / hour
Experience developing data automation and ETL solutions.
Added 5 days ago
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Senior Data Engineer
Absentia Labs
San Francisco, CA · San Jose, CA
- $125,000 to $160,000 USD / year
As a Senior Data Engineer, you will own the design and evolution of Absentia Labs’ biomedical data platform. You will operate with a high degree of autonomy, making long-horizon…
Added 5 days ago
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Senior, Data Engineer | Sunnyvale
Walmart
Sunnyvale, CA
- $90,000 to $234,000 USD / year
Walmart is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support business insights and decision-making. This role requires…
Added 5 days ago
Data Engineer II, JVM
PlayStation Global
San Mateo, CA
As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for…
Added 5 days ago
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Founding Data Engineer
Stealth Health Startup
San Francisco, CA
- $145,000 to $215,000 USD / year
…prescriptions, orders labs, and manages patients. You'll build the data infrastructure that powers real medical decisions, not a…
Added 5 days ago
Data Engineer
WinMax Systems Corporation
Santa Clara, CA
Leading the design, development and deployment of data reporting solutions for Client Service Training. This role involves significant interaction with large data sets, querying, modeling,…

Senior Data Engineer

Cupertino, CA, United States

The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apply on jobs.apple.com About employer

Applications open in a new tab.

Job details

Pay: The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Posting language: English
Posted: Oct 26, 2026

Original job description

Summary At Apple, we find joy in solving hard problems, and we are motivated by curiosity to keep making our products better. Apple Services Engineering's Device Compute Analytics team provides the data foundation for Apple's internal device cloud, which supports all of Apple's hardware, software, and services. Our work helps Apple ship entirely new products and features, and gives teams the data to keep existing ones meeting a high standard. We are looking for a senior data engineer to own our data lakehouse: turning a stream of device and compute events into data that is accurate, timely, and easy to explore. You will build the pipelines and table designs that power forecasting, capacity planning, and fair cross-charging across the organization, and help us spot issues before an internal customer ever notices them. Join a high-performing team, work with colleagues across Apple, and make data that people across the company rely on.

Description You will own the data lakehouse that turns raw device and compute events into reliable, fast-to-query tables. You will build and run the Spark pipelines, design the tables that dashboards query through Trino, and put in place the checks that keep the data accurate and timely. Over time, you will also take over the ingestion of those events from Kafka. Our services publish events describing device lifecycle, job and session activity, provisioning, and failures, and those events land in Iceberg. You will turn them into datasets people can trust and build on, working with a data analyst and a full-stack engineer (who builds the dashboards) on the team, as well as application engineers and teams across Apple.

Responsibilities

Build and run Spark streaming and batch pipelines in Scala or Java, including backfills when data issues are found or new transformations are added for past events Design lakehouse tables and layouts (partitioning, sort order, compaction, schema evolution) so dashboards can query Iceberg quickly through Trino Validate incoming events, handle schema changes, and route malformed or unknown events to a dead-letter path for review and replay Define and enforce data quality with a data analyst: keep schemas and data contracts under version control with compatibility checks in CI, monitor freshness, completeness, duplicates, and late arrivals, and alert the right owner Partner with the full-stack engineer who builds the dashboards, designing the tables and queries behind them and using AI coding tools to move faster while checking the results Take over the Apache Flink job that ingests events from Kafka into Iceberg Improve performance and cost by right-sizing jobs, fixing skew and small-file problems, and tuning queries and storage Join the on-call rotation for Data Lakehouse incidents, review code and designs, and mentor other engineers

Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or a related field 7+ years of professional data engineering experience building production data pipelines at scale, including diagnosing and improving the performance of data jobs and queries, or equivalent advanced degree plus experience Production experience with Apache Spark, including batch and streaming (Structured Streaming) pipelines Strong data modeling skills, with experience designing analytics schemas on Apache Iceberg or comparable lakehouse table formats Proficiency in Java or Scala, and strong SQL Experience building data quality checks and monitoring for production pipelines, including freshness and completeness alerting and reconciliation between source and derived data Productive use of AI coding tools in real delivery, with the discipline to validate generated code and queries Excellent communication and critical thinking skills in a team environment

Preferred Qualifications Production experience with Apache Kafka as a streaming source Production experience with Apache Flink, including the Iceberg sink, exactly-once delivery, and stateful jobs on Kubernetes Experience with data contracts and schema management as code (for example schema registries or dbt model contracts) Experience tuning tables and queries for a distributed SQL engine such as Trino Experience with workflow orchestration and Python automation Experience building dashboards or data applications that put data in front of users, with attention to visual design Experience owning the design of a data platform or pipeline, not just implementing it Experience mentoring engineers and leading cost or reliability improvements

Pay & Benefits 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 $184,700 and $324,800, 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.

EEO Statement Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.

Apply on jobs.apple.com About employer

More about this job

Skills

Apache Kafka
Apache Spark
Scala
Oracle Java
Computer science
Data engineering
Data modelling
SQL
Statistical quality control
Communication skills
Critical thinking
Kubernetes
dbt
Workflow
Python
Graphic design
Coaching

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Data engineer jobs in San Carlos, CA and nearby

Senior Palantir Data Engineer

Enterprise Analytics Data Engineer

AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location

Data Engineer

Sr. Data Engineer AI

Sr. Data Engineer AI

Health Research Data Engineer

Associate Data Engineer

2027 University Graduate - Data Engineer

Cloud Data Engineer

Data Engineer, Consultant