further to learn how you could help make great things possible not only in your community, but around the world. In the role of Data Engineer II, we'll count on you to:Build and maintain batch and streaming ingestion pip…
Engineering & IT
Data Engineer jobs
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.
22,629
Open roles today
$38–$94/hr
Typical pay range
$129k
Median, full-time
10
Fresh in this list
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01
What data engineers earn in the US
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$52 | $78k–$108k |
| Mid level | $52–$72 | $108k–$150k |
| Senior | $70–$94 | $145k–$195k |
National ranges. City pages adjust for the local market.
02
Open roles across the US
12 shown of 22,629 · sorted by freshness
powerful? Join our outstanding team and help shape the future of energy.Position Specific DescriptionWe are seeking a hands-on Lead Data Engineer to architect and deliver enterprise-grade data and AI products that power…
a specialist technical consultancy delivering bespoke technology and data solutions to solve complex operational challenges. Due to continued growth, they are looking for an experienced Data Engineer to join their growin…
Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality rules, data storage et…
$205.32k
Family GroupEngineering / Product DevelopmentJob ProfileSr Lead Data EngineerManagement LevelSr Manager - Non People LeaderFlexible Work... ..., LLCSr. Lead Data EngineerJob Description: Sr. Lead Data Engineer positions…
TimeWorking Type On SiteJob Reference 0000017586Salary Type AnnuallyIndustry Hedge Fund;Private EquitySelling Points Drive impactful data engineering initiatives in a fast-paced financial environment. Collaborate on inno…
$100k - $150k
$100,000-$150,000 per annum New York, United States Permanent Data Catalog EngineerNew York, NY - Hybrid (3 Days Per Week in Office) My client is seeking a Data Catalog Engineer to join a growing Data Governance team foc…
We are seeking an experienced Kinaxis Data Migration Engineer with 8–10 years of experience in data migration, supply chain systems, data analysis, and enterprise data integration. The ideal candidate will have strong kn…
$77.5k - $176k
Data EngineerThe Opportunity:Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to... ...unstructured. Turning that data into actionable insight requires strong engineerin…
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level…
$110k - $120k
We are seeking an experienced Kafka/Spark Data Engineer with strong expertise in real-time data processing, streaming technologies, and distributed systems. The role will focus on Kafka, Spark, Redis, Python, and cloud-b…
We are seeking an experienced Snowflake Data Engineer with strong expertise in Snowflake, Python, SQL, Snowpark, and ELT pipeline development. The ideal candidate will have a strong background in data engineering, data w…
03
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.
05
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.
02
Name your orchestration, processing, and warehouse tools per role; the modern stack (Airflow, dbt, Snowflake) is a keyword screen.
03
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.
06
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
08
Data Engineer jobs by city
RemoteNew York, NYSan Francisco, CASan Jose, CALos Angeles, CASan Diego, CASacramento, CAFresno, CASeattle, WAPortland, ORDenver, COSalt Lake City, UTLas Vegas, NVPhoenix, AZTucson, AZAlbuquerque, NMBoston, MAPhiladelphia, PAPittsburgh, PAWashington, DCBaltimore, MDRichmond, VAChicago, ILColumbus, OHCleveland, OHCincinnati, OHDetroit, MIIndianapolis, INMilwaukee, WIMinneapolis, MNKansas City, MOSt. Louis, MOOmaha, NEHouston, TXDallas, TXFort Worth, TXAustin, TXSan Antonio, TXOklahoma City, OKAtlanta, GAMiami, FLTampa, FLOrlando, FLJacksonville, FLCharlotte, NCRaleigh, NCNashville, TNMemphis, TNLouisville, KYNew Orleans, LA
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