$131.3k - $237.35k
ability to pass a polygraph examination. Bachelors degree in Data Science, Computer Science, Geospatial Science, or a related... ...expertise. Collaborate with GEOINT analysts, program managers, engineers, and other stak…
Engineering & IT · Tucson, AZ
Data Engineer jobs in Tucson, AZ
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.
17
Open roles today
$35–$88/hr
Typical pay range
$121k
Median, full-time
7
Fresh in this list
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01
Open data engineer roles
12 shown of 17 · sorted by freshness
Building Foundations for Tomorrow's Developers As a Summer Analyst Intern, you'll gain hands-on exposure to Bourn Companies' development teams and contribute to active projects while learning the fundamentals of real est…
About Spara Technologies Spara Technologies delivers advanced engineering, staffing, and mission-focused solutions across energy, cyber, air, land, sea, and space domains. We combine the right people, proven processes, a…
$68.9k - $131.1k
the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of... ...the future of aerospace and defense.The Senior Analyst in Data Management…
Business & Program Management P3Raytheon Digital Technology - Engineering Digital SolutionsFoundational Capabilities TeamHybrid role - Multiple... ...and engineering teams.Build advanced Power BI dashboards and data mode…
$30 - $35 per hour
o Employee Wellness Program: Plan design, communications, education, and incentives processing. o Established Trust(s): Gathers data and performs monthly, quarterly and annual administration of established trust(s), cond…
$72.15k - $122.66k
Job Description Ready to make a difference? Our employees design, integrate, and test the worlds next generation communication and electronic warfare systems for the United States DoD and international customers. You wil…
the boldest and most ambitious space missions. MACHINE LEARNING ENGINEER II Rocket Lab Optical Systems solves mission-critical space... ...Optical Systems applications ~Build and maintain ML pipelines for data ingestion,…
the boldest and most ambitious space missions. SENIOR SOFTWARE ENGINEER II Rocket Lab Optical Systems solves mission-critical space domain... ...of this position that you be eligible to access equipment and data regulate…
$78k - $100k
client service by observing experienced staff Qualifications ~0-3 years of experience ~Bachelor’s degree or higher (planning, engineering, or similar) ~Clear passion for transportation and desire to become a consultant C…
$140k - $200k
people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, lead…
IT system support Engineer This is a full-time on-site position located in Tucson, AZ. Join the Control Vision team in a unique position that will combine a cybersecurity background with corporate security needs in a cro…
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What data engineers earn in Tucson
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$49 | $73k–$102k |
| Mid level | $49–$68 | $102k–$141k |
| Senior | $65–$88 | $136k–$183k |
Adjusted for the Tucson 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
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.
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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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