$92k - $130k
JOB DESCRIPTION SUMMARY Greystar's D²AI organization ( Data, Digital, and AI) is responsible for the platforms, processes,... ...tools in your day-to-day work, and partnering effectively with engineering, analytics, and…
Engineering & IT · Raleigh, NC
Data Engineer jobs in Raleigh, NC
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.
292
Open roles today
$37–$93/hr
Typical pay range
$128k
Median, full-time
9
Fresh in this list
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01
Open data engineer roles
12 shown of 292 · sorted by freshness
First Citizens Bank is seeking a Lead Data Engineer to guide the design, development, and modernization of enterprise data platforms powering analytics and decision-making. You will lead a hands-on team using AWS, Snowfl…
Role: NC FAST Power BI and Data Engineer Location: Raleigh, NC 27607 Duration: 12 Months Description: Client is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment bui…
$65k - $130k
A data solutions provider is seeking a Tech Lead in Data Engineering to own the technical direction of data initiatives. This fully remote role requires 10+ years of experience, hands-on expertise with Python, SQL, and A…
$113.1k - $188.5k
Manager Data Engineering page is loaded## Manager Data Engineeringlocations: North Carolina: Raleigh, NCtime type: Full timeposted on: Posted Todayjob requisition id: R105926## About Our TeamLexisNexis Legal & Profession…
$70 per hour
Job Description Job Description Title: Data Engineer (onsite) Location: Raleigh, NC Contract: W2 only, 12-month contract with potential for extension or conversion to full time with the client. Pay: $70/hour + optional m…
Hiring Alert | Senior Data Engineer Location: Raleigh, NC / Phoenix, AZ / Dallas, TX (Onsite) Employment Type: Full-Time Experience Required: 6 10 Years Visa Type: USC / GC Only Must-Have Skills: Enterprise Data Pipeline…
We have an immediate opening for the below position with one of our premium clients. Job Description Job Title: Data Engineer with Core Power BI Location: Raleigh, NC (Hybrid) Relocation: Yes from nearby states Interview…
Job Title: Power BI and Data Engineer (Hybrid) Location: Raleigh, NC Duration: 12+ Months with possible extension Job Description: The client is seeking a Data Engineer for design, development, and optimization of a clou…
Role: Data Engineer * Data Engineer with 8+ experience Descriptions: " Responsibilities: Data Pipeline Architecture & Development Design and implement scalable, resilient data pipelines using Snowflake features including…
Role Description ~12+ years of experience as a Data Engineer. ~ Design, develop, and maintain scalable, resilient data engineering solutions. ~ Strong expertise in Snowflake, Python, PySpark, DBT, Qlik Replicate, and Air…
to-Corp/C2C) for this opportunity. We are unable to sponsor at this time. Relocation assistance is not provided. Senior Data Platform Engineer Overview We are seeking a Senior Data Platform Engineer to join a growing com…
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What data engineers earn in Raleigh
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$51 | $77k–$107k |
| Mid level | $51–$71 | $107k–$148k |
| Senior | $69–$93 | $144k–$193k |
Adjusted for the Raleigh 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.
02
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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