$69k - $109k
automation solutions within our internal applications. We develop API-driven integrations with secure authentication and dependable data transfer. We use Microsoft development tools, including Visual Studio and Azure-bas…
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.
49
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 49 · sorted by freshness
$59k - $65k
Job Description Job Description Overview We are seeking a Client Support Technician to support the Kirtland C4 program at Kirtland AFB, in Albuquerque, New Mexico. TekSynap is a fast-growing high-tech company that unders…
$180k - $225k
Job Details We are seeking an experienced Machine Learning Engineer to design, develop, and implement infrastructure and architecture... ...infrastructure to support the ingestion, processing, and interpretation of data…
$70k - $105k
expertise to solve challenges and celebrate success! Job Summary JCS Solutions LLC is seeking a highly skilled Senior Data/ Visualization Engineer specializing in data visualization to join our team. The primary focus of…
Careerscape is recruiting on behalf of our client, a growing organization seeking a motivated Remote Help Desk Technician to join its IT support team. This is a great entry point into a technology career, offering hands-…
$103k - $155k
Job Summary: JCS Solutions LLC is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment... ...Integration: Normalize and correlate network performance and fault data from Sola…
growth. You will work with cutting-edge tools like Microsoft Copilot , Azure AI , and custom machine learning models to turn data into meaningful business outcomes. Position Overview: We are seeking an experienced and de…
$100k - $135k
Travel Required: None Position Summary: The Business Data Analyst II will support the Department of Energy (DOE), Office... ...A Cogent Security Company , provides consulting, management, engineering and technical suppor…
Job Description Job Description For more than 60 years, Data Device Corporation (DDC) has been recognized as a world leader in the design and manufacture of high-reliability Connectivity, Power, and Control solutions for…
$14 per hour
Job Description Job Description Description: Must be available to work Monday through Friday and or weekend, shifts scheduled between 6 AM and 9 PM MST. Specific work shifts will be confirmed with successful candidates p…
Job Description Job Description Velos is a full-service engineering and technical services company supporting agencies such as the DoD NASA, and NOAA. As an SBA-certified HUBZone small business, Velos combines agile and…
Verus Research is searching for a Machine Learning Engineer to perform research & development, conception, and implementation of advanced... ...algorithms with a focus on some combination of generative methods, data fusi…
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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
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
04
Staff Data Engineer
05
Data Platform Lead
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