$60k - $120k
Requirements: Bachelors degree in Computer Science, Physics, Engineering, Applied Mathematics, or a related discipline Advanced... ...relevant to our organization Experience in managing large-scale data and utilizing par…
Engineering & IT · Albuquerque, NM
Data Engineer jobs in Albuquerque, NM
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.
27
Open roles today
$35–$87/hr
Typical pay range
$120k
Median, full-time
5
Fresh in this list
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01
Open data engineer roles
12 shown of 27 · sorted by freshness
$104k - $114.4k
Responsibilities: Design, develop, implement, and support enterprise data integration and reporting solutions for Medicaid Management... ...Support SQL More: We are hiring a Senior Software Engineer for a remote role, wi…
Key Responsibilities Data Pipelines & Platforms Lead pipeline architecture decisions for assigned workstreams, including... .... Technical Delivery Leadership Own the data engineering workstream within a project delivery…
$54k
Salary: $54,000 - 54,000 per year Requirements: We are looking for 2+ years of experience in a corporate IT or managed services environment; MSP or multi-client experience is a strong advantage. We need someone who is co…
Overview Join our team as a day shift, full-time, Hospital Informatics Analyst in Albuquerque, NM. Why Join Us? Thrive in a People-First Environment and Make Healthcare Better Thrive: We empower our team with career grow…
$95.5 per hour
JOB TITLE: Electrophysics Engineer/ Scientist 4 LOCATION: Albuquerque, NM PAY RATE: $95.50/hour We are a national aerospace... ...in Electrical, Mechanical or Aeronautical, Computer Science, Data Science, Mathematics, Ph…
your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data- driven technology to improve mining and water systems. We bring deep technical k…
BryceTech is a trusted leader in complex technology domains, delivering data- driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R&D programs, and strategic…
BryceTech is a trusted leader in complex technology domains, delivering data- driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R&D programs, and strategic…
BryceTech is a trusted leader in complex technology domains, delivering data- driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R&D programs, and strategic…
BryceTech is a trusted leader in complex technology domains, delivering data- driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R&D programs, and strategic…
$130k - $180k
Seeking an experienced Cloud Engineer II to join our team supporting the NEST Communication Program. This role will support the design,... ...• Experience integrating Azure environments with on-premises data centers, Act…
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What data engineers earn in Albuquerque
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$48 | $73k–$100k |
| Mid level | $48–$67 | $100k–$140k |
| Senior | $65–$87 | $135k–$181k |
Adjusted for the Albuquerque 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
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.
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
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Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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