$168.8k - $253.25k
Analytics Operations role is a unique opportunity to help shape how data and AI drive decision-making across Insulet as the company... ...Science, Mathematics, Computer Science, Electrical and Computer Engineering, or a…
Engineering & IT · San Diego, CA
Data Engineer jobs in San Diego, 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.
136
Open roles today
$44–$111/hr
Typical pay range
$152k
Median, full-time
4
Fresh in this list
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01
Open data engineer roles
12 shown of 136 · sorted by freshness
$149.8k - $262.2k
Company DescriptionIt all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried... ...reinvention. Our ServiceNow AI platform brings together any AI, any data, and…
$149.8k - $262.2k
Company DescriptionIt all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried... ...reinvention. Our ServiceNow AI platform brings together any AI, any data, and…
Xenith Solutions is seeking a highly skilled and motivated Data Scientist to join our team in developing innovative solutions to... ...national problems in support of the Navy, DoD, and Intel communities engineering and…
one team. - We Care Deeply : We show up with integrity, kindness, and respect for one another. The Position The Senior Manager, Data Engineering will manage an engineering team responsible for building and operating Vera…
$85k - $100k
Data Engineer The Marlin Alliance is seeking a dedicated Data Engineer to support our Navy client. The successful candidate will support a DoD client program by designing, building, and maintaining data pipelines that tr…
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy.... ...reinvention. Our ServiceNow AI platform brings together any AI, any data, and any…
$150k - $190k
with the greatest need for early detection, starting with pancreatic and ovarian cancers. Position Summary : The Clinical Data Engineer II/III owns clinical Data Operations: the data pipelines, data warehouse, and report…
$175k - $225k
The Marlin Alliance is seeking a forward-thinking Data Engineer in San Diego, CAto provide client support to our Navy client. This is an on-site role and applicants must have active DoD Secret Clearance. Incorporated in…
$110k - $180k
The Marlin Alliance, Inc. is seeking a Senior Data Engineer (OpAI) to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges. This role requires deep experienc…
$175k - $200k
The Marlin Alliance is seeking a forward-thinking Data Engineer/ Data Architect in San Diego, CAto provide client support to our Navy client. This is an on-site role and applicants must have the ability to obtain a DoD S…
Staff Data Engineer Location: Remote Are you tired of being kept in a restricted creative box with limited autonomy to push boundaries and ideas to solve problems with Data products? Or not seeing your work directly impa…
02
What data engineers earn in San Diego
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $44–$61 | $92k–$127k |
| Mid level | $61–$85 | $127k–$177k |
| Senior | $82–$111 | $171k–$230k |
Adjusted for the San Diego market from national ranges.
03
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
04
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.
05
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.
02
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.
04
Show cost work if you have it — warehouse spend is a live concern and optimization stories differentiate.
05
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
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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