and their impact to HR, Benefits, and Payroll teams • Troubleshoot complex system issues and perform audits/validations to ensure data integrity • Develop and execute test plans and audit processes; secure business sign-…
Engineering & IT · Fresno, CA
Data Engineer jobs in Fresno, 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.
14
Open roles today
$36–$89/hr
Typical pay range
$123k
Median, full-time
3
Fresh in this list
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Open data engineer roles
12 shown of 14 · sorted by freshness
and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. We are hiring a Junior Developer with proven ex…
what it takes to be a Technical Support Specialist at McMillan IT Engineering? Are you able to multitask? Do you love working with computers... ..., gather information and troubleshoot client issues. Data restoration. Ma…
$17 per hour
As a data entry employee, you will be performing routine data entry tasks under close supervision. Your efforts will help ensure our client's database is maintained with updated account information by verifying, reviewin…
$130k - $140k
releases. ~ Strong functional expertise in Order Management, Purchasing, and Inventory modules. ~ Foundational knowledge of master data, Account Receivables, and e-commerce. ~ Working technical knowledge of Oracle ERP ar…
Job Description Job Description Description: Solutions Engineer I (Remote - USA) About Forward Advantage ForwardAdvantage is a leading software and services provider with a 30-year track record of delivering trusted tech…
$90k - $110k
Our client, a well-established and growing financial services organization, is seeking a BI Analyst to join their newly formed Data & Analytics team. This is an exciting opportunity to play a key role in building the org…
Community Health System's Information Technology Services (ITS), Desktop Design and Client Services department. Endpoint Solutions Engineers design, implement and support endpoint solutions within the organization. This…
and seek to make a meaningful impact in varied environments, we encourage you to apply. You will join a high-performing team of engineers who support and enhance critical client infrastructure. This role goes beyond tick…
$52k - $62.4k
Reserve Study Analyst Assistant Do you enjoy construction, real estate, and working with numbers? California Builder Services is seeking a motivated and detail-oriented Reserve Study Assistant to join our growing team in…
$38 per hour
platforms. Ensure the integrity and security of enterprise data on host computers, multiple databases. Practice network asset... ...Technology, or related field. ~3–5 years of experience in network engineering, preferabl…
Job Description Job Description Clinica Sierra Vista is excited to be one of the largest Federally Qualified Health Centers in the Nation! We’re honored to serve the men and women of the fields. We also offer care and su…
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What data engineers earn in Fresno
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $36–$50 | $74k–$103k |
| Mid level | $50–$68 | $103k–$142k |
| Senior | $66–$89 | $138k–$185k |
Adjusted for the Fresno 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
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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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