About the job Remote Data Analyst / HR The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6‑month contract with the opportunity f…
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.
58
Open roles today
$35–$88/hr
Typical pay range
$121k
Median, full-time
5
Fresh in this list
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01
Open data engineer roles
12 shown of 58 · sorted by freshness
A leading open-source software firm is seeking a Junior Software Developer to join their Observability team. This remote role requires strong skills in Python and Go, along with a passion for open-source technologies, Li…
TEKsystems is seeking a Live Expert Service Desk Analyst to provide first and second line technical support for internal employees. The role involves analyzing and resolving issues across software, hardware, and connecti…
at the right time to serve our customers. We are the backbone of our expert supply strategy, driving operational excellence through data- driven planning and execution. We work closely with finance, operations, product,…
Job Description Job Description The Data Analyst plays a crucial role in gathering, interpreting, and transforming data into actionable insights to support business decision-making. This position involves analyzing compl…
$22.77 - $28.46 per hour
detail. Ability to work independently and collaboratively within a team environment. Knowledge of IT security best practices, data privacy, and institutional policies. Ability to document technical procedures and contrib…
$86.8k - $165.2k
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... ...of aerospace and defense. We are hiring a Principal Analyst Data Manager t…
$101k - $124k
an employee-owned company, is seeking an experienced Analytics Engineer to advance complex intelligence operations and contribute significantly... ..., sources, methodologies, and analytical tradecraft, extract data rele…
cybersecurity work experience required. ~ Strong understanding of information security principles, phishing threats, and social engineering tactics. ~ Experience with phishing simulation tools and security awareness plat…
$30 - $32 per hour
gathering necessary documentation and collaborating with Validation Engineers. Actively participate in training and mentorship to develop... ...tools and software (e.g., Minitab) to analyze process data, minimize risk, a…
Competitive salary ~ Dental insurance ~ Health insurance About the Role: Join Legion Technical Solutions LLC as a Senior Data Architect, where you will play a pivotal role in designing robust data solutions that drive bu…
: Collaborate with brilliant computer scientists, electrical engineers, and mathematicians in a true R&D environment where technical excellence... ...: Design and architect AI solutions that process real-world data at sc…
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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
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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
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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