benefit plan selections based on represented employee organization changes, and other various reports - mostly centered around payroll data and including FI postings. There is additional ABAP work needed for payroll repo…
Engineering & IT · Sacramento, CA
Data Engineer jobs in Sacramento, 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.
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Open roles today
$40–$101/hr
Typical pay range
$139k
Median, full-time
10
Fresh in this list
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Open data engineer roles
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will also be responsible for implementing advanced analytics driven features, customizing search features based on the SOLR search engine, and developing and supporting AI based search and digital assistant features. Ski…
Job-ID28987312Reference26-21543Remote50% Remote This position needs to be a strong SAP benefits and payroll functional consultant with at least 8 years of recent SAP configuration experience in the benefits module, 3 of…
$105k - $135k
client-facing web development. The developer will design and maintain SSRS reports and Power BI dashboards that surface trust accounting data to internal and external stakeholders, while also contributing to web-based ap…
only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering... ...where people work, connect, and thrive. From high-performance data centers driv…
$110k - $130k
Power Automate.Familiarity with Power BI and working with business data. Experience developing or experimenting with Microsoft Copilot,... ...experiment with new technologies.Experience in architecture, engineering, cons…
$40k - $50k
Sr. Associate - Data Engineering - LATAM About OVG At OVG we help Finance organizations create value with our unique Agentic Performance Management (APM) approach. We are in the early innings of the AI revolution. Our go…
processes that run it. That work changes the operating model an engineering organization runs on, the ways of working underneath it, and... ...We combine our strength in technology and leadership in cloud, data and AI wi…
role, you will have the opportunity to participate in and lead engineering and design of the HVAC and plumbing systems in various types of... ...HVAC and plumbing systems for primarily HyperScale and Colocation Data Cent…
details: # Updated Resume # Current Location # Work Authorization # LinkedIn Id Job Title: Senior Data Engineer/ SQL DBA/SSIS Developer Location: Sacramento, CA (Onsite) Industry Experience: Public-sector experience requ…
Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an... ...our Talent Acquisition (TA) team as a Talent Acquisition Data Engineering & Analytics…
Location While our core team and headquarters are in Sacramento, California, we welcome remote workers from all over the country. We've built a strong culture to foster valuable team relationships with both remote and Ca…
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What data engineers earn in Sacramento
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $40–$56 | $84k–$117k |
| Mid level | $56–$78 | $117k–$162k |
| Senior | $75–$101 | $157k–$211k |
Adjusted for the Sacramento 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
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Junior Data Engineer
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Data Engineer
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Senior Data Engineer
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Staff Data Engineer
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Data Platform Lead
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