$80k - $100k
Machine Learning Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fant…
Engineering & IT · San Jose, CA
Data Engineer jobs in San Jose, CA
Data engineers build the pipelines and warehouses that move data from source systems to the people and models that need it, keeping it fresh, correct, and queryable at scale.
693
Open roles today
$52–$129/hr
Typical pay range
$178k
Median, full-time
3
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Open data engineer roles
12 shown of 693 · sorted by freshness
$90k - $110k
Big Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportu…
$2,000 per month
hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest... ...chips - it demands world-class physical infrastructure. As a Data Center…
equipment ensuring files and builds are up-to-date Site Administration & Incident Support Performs specialized site logs and data gathering for issuing of permits, such as Maintenance Operation Protocol (MOPs) and script…
Job Description Job Description Data Engineer III itD is seeking a Data Engineer III to design, build, and optimize scalable data infrastructure that enables reliable analytics, reporting, and data-driven decision-making…
$200k - $220k
edge company that's making a real difference in how the world connects and communicates. Job Summary We are looking for a Data DevOps Engineer with 8+ years of experience to join our ML/AI team. Responsibilities Work on…
$91k - $147.2k
respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting L…
have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Principal Data & AI Engineer, Reporting and Insights Introduction to the Team: Our Technology team partners a…
$195k - $225k
the future of payments—one experience at a time. About our Data Stack: Cloud Provider: AWS Database: MySQL, PostgreSQL... ...Database Insights, and Datadog Responsibilities: As a Staff Data Engineer, you will provide tec…
$100k - $200k
next-generation solutions, the business is helping design modern data center architectures and build networks from the ground up,... ...company is looking for a hands-on Data Center & IT Infrastructure Engineer to manage…
Job Description Job Description Description This position is ideal for senior-level data engineering professionals to join the Product Analytics team as a Sr. Data Engineer/Data Analyst. You will drive the design, develo…
$65.49 per hour
Job Description Job Description Data Engineer 3 Job Details Data Engineer 3 (Contract) Location: San Jose, CA 95110 (Hybrid) Duration: 12/08/2025 to 12/08/2026 Team: DME Planning Strategy & Consolidation About the Role:…
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What data engineers earn in San Jose
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $52–$72 | $108k–$149k |
| Mid level | $72–$100 | $149k–$207k |
| Senior | $96–$129 | $200k–$269k |
Adjusted for the San Jose market from national ranges.
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What employers ask for
The skills these listings keep naming
SQL and data modelingPython or ScalaAirflow or similar orchestrationSpark or other batch processingWarehouses (Snowflake, BigQuery)dbtStreaming (Kafka)Data quality testingCloud infrastructure
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Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Design a pipeline that loads data from a production database into a warehouse daily.
Cover extraction strategy, incremental loads versus full refresh, idempotency, and monitoring. Saying how you would backfill after a failure shows real pipeline experience.
How do you handle late-arriving or duplicate data?
Discuss idempotent upserts, watermarks, and dedup keys. This is a daily reality of the job, so a concrete example lands well.
Batch or streaming — how do you decide?
Anchor on the actual freshness requirement and cost. Most 'real-time' asks are fine at minutes; recognizing that is the mature answer.
A stakeholder says the numbers in their dashboard are wrong. Walk me through your debugging.
Trace lineage from the dashboard back to the source, isolating which layer diverged. Showing calm, structured lineage-tracing is the point of the question.
How do you model data for analytics — star schema, wide tables, something else?
Show you know the classic patterns and modern warehouse economics, and that you choose based on query patterns and team skill, not doctrine.
How do you test data pipelines?
Talk about schema and freshness checks, row-count and distribution tests, and tools like dbt tests or Great Expectations — plus alerting when they fail.
Tell me about a pipeline that failed badly and what you changed.
Structure it like an incident review: impact, cause, fix, prevention. Emphasize the durable improvement, such as monitoring or contract enforcement.
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Resume tips that move the needle
For data engineers specifically — generic advice costs you here
01
State data scale plainly — rows per day, terabytes managed, pipeline counts — because it is the first thing hiring managers scan for.
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Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
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Highlight reliability outcomes: pipeline failure rates, data freshness SLAs met, incident reductions.
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Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
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Mention who consumed your data (analysts, ML teams, executives) to show you build for users, not just movement.
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Where this role goes
Typical progression
01
Junior Data Engineer
02
Data Engineer
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Senior Data Engineer
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Staff Data Engineer
05
Data Platform Lead
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