Data engineer jobs in San Jose, CA and nearby (97 jobs)

Data engineer jobs within 25 miles of San Jose, CA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 97
Employers: 64

Advertised starting pay

Average starting payUSD / year: $162,184Across 28 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 12%12 listings
On-site: 24%23 listings

Not specified: 64% (62 listings)

Employers hiring include Apple (17), Walmart (7), Deloitte US (6).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in San Jose, CA and nearby

Within 25 miles

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Added 15 hours ago
Cloud Data Engineer
Deloitte US
San Jose, CA
Added 1 day ago
C
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 desi
Added 2 days ago
IG
Data Engineer
Insight Global
Pleasanton, CA
- From $66 USD / hour
Experience developing data automation and ETL solutions.
Added 2 days ago
AL
Senior Data Engineer
Absentia Labs
San Jose, CA
- $125,000 to $160,000 USD / year
Absentia Labs is building the data and intelligence infrastructure that powers the next generation of biomedical discovery. We work at the intersection of biology, chemistry, machine…
Added 2 days ago
W
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 3 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,…
Added 3 days ago
Data Engineer
Sumeru Solutions
Menlo Park, CA
Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mySQL/oracle/hive
Added 3 days ago
Lead Data Engineer
Stepping Up Solutions
Sunnyvale, CA
We build intelligent software that automates media buying, making big data actionable for marketers and connects them to their next customer.
Added 3 days ago
Lead Data Engineer/ETL
Principal Software
Pleasanton, CA
Added 3 days ago
Data Science/Data Engineer
INTELLISWIFT INC
San Jose, CA
We have the following open position for a FT/Permanent Data Science/Data Engineer. Please apply with all the details if interested.
Added 3 days ago
Data Engineer in Sunnyvale CA
IDC Technologies
Sunnyvale, CA
Please focus on spark/Pyspark with data experience.
Added 3 days ago
Senior GCP Data Engineer
Comspark group
Sunnyvale, CA
12+ years of hands-on experience with developing data warehouse solutions and data products.
Added 3 days ago
Manager, Cloud Data Engineer
Deloitte US
San Jose, CA
AI & Engineering leverages cutting-edge engineer
Added 4 days ago
Sr. Simulation & Synthetic Data Engineer - Remote
Intuitive
Sunnyvale, CA
Added 6 days ago
IG
Data Engineer
Insight Global
Menlo Park, CA
- From $81 USD / hour
5+ years of experience as a Data Engineer supporting company infrastructure, data analysis, and metrics
Added 6 days ago
Senior Data Engineer
Womble
Santa Clara, CA
Womble Bond Dickinson (US) LLP is seeking a remote Senior Data Engineer to their US team. The Senior Data Engineer is the Firm’s hands-on technical owner for its enterprise internal data…
Added 6 days ago
B
Senior Staff Data Engineer
Biohub
Redwood City, CA
- $270,000 to $300,000 USD / year
Added 6 days ago
Data Engineer- Consultant AI& E
Deloitte US
San Jose, CA
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 7 days ago
Management Consultant - Data Engineer
IBM
Santa Clara, CA · San Jose, CA
Added 8 days ago
SC
Staff Data Engineer
Sam's Club
SUNNYVALE, CA
- $212,326 to $286,000 USD / year
Duties: Establish, modify, and document data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets…
Added 10 days ago
SW
Staff Data Engineer
Sam's West, Inc.
Sunnyvale, CA
- $212,326 to $286,000 USD / year
Duties: Establish, modify, and document data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets…
Added 10 days ago
Data Engineer, ADAS Fleet Analytics
Mercedes-Benz
San Jose, CA
…monitor, and improve its Advanced Driver Assistance Systems. As a Data Engineer on the US ADAS Data & Forensics team, you will build and operate the data pipelines that turn raw vehicle…
Added 10 days ago
T
Data Engineer
TEKsystems
Sunnyvale, CA
- $75 to $80 USD / hour
DescriptionResponsibilitiesArchitect, construct, and maintain robust, scalable data pipelines and complex ETL workflows.Manage and optimize data models within modern Data Lakes and cloud…
Added 11 days ago
T
Data Engineer (8006)
TSMC
San Jose, CA
- $168,917 to $170,000 USD / year
Job Description: Collect and manage data, facilitating further interpretation of the model created by data scientists. Create, construct, and maintain the essential infrastructure for…
Added 11 days ago
Data Engineer, Apple Ads
Apple
Cupertino, CA

Apple

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.

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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.

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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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