$75 per hour
Job Title: Senior Data Engineer Location: Charlotte, NC Job Type: Long-Term Contract Top Skills: Python | SQL | AWS/Azure | Databricks | Spark/PySpark | ETL/ELT | Data Pipelines Job Description: We are seeking a Senior D…
Engineering & IT · Charlotte, NC
Data Engineer jobs in Charlotte, 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.
352
Open roles today
$37–$92/hr
Typical pay range
$126k
Median, full-time
6
Fresh in this list
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
01
Open data engineer roles
11 shown of 352 · sorted by freshness
We are seeking a Lead Data Engineer with strong experience in delivering enterprise-scale cloud data and analytics solutions. The ideal candidate will have expertise in Google Cloud Platform (GCP), technical project lead…
Job Title: Data Engineer Location: Charlotte, NC (Hybrid) Type: Contract Job Description: This role involves working with cross-functional teams to develop, manage, and optimize cloud-based data solutions for cybersecuri…
Lead Data Engineer Location: Charlotte, NC 28273 (100% Onsite 5 Days/Week) Position Type: 6 month Contract-to-Hire Interview : Virtual and final in-person Key Skills: Azure Databricks, Data Engineer, PySpark, Python, SQL…
Job Description Job Description Data Engineer Location: Charlotte, NC (Hybrid) Schedule: Full-Time | Hybrid (3 days onsite) Interview Process: In-Person Interview Required About the Role We are seeking a Data Engineer to…
Hello Functional Job Title: Lead Data Engineer Location (City State, Street Name): Charlotte NC 28273 Large Healthcare organization is seeking a lead Data Engineer to join their expanding team This is a contract to hire…
is undergoing a digital transformation to modernize its enterprise data platform across Capital Markets . As part of this initiative, we are seeking an experienced Data Governance / Data Quality Engineer to support the d…
Role: Lead Data Engineering Location: Charlotte, North Carolina Job Description: 8+ years of Technology Delivery / Program Management / Technical Project Leadership experience 5+ years delivering cloud-based Data & Analy…
$60 - $66 per hour
job summary: The primary role of the Data Engineer is to function as a critical member of a data team by designing data integration solutions that deliver business value in line with the company's objectives. They are re…
Job Description Job Description No C2C or third parties Fulltime W2 Prefer Charlotte NC Data Engineer Company is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines an…
Job Description Job Description Senior Data Engineer – Data Architecture & Platform CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into D…
02
What data engineers earn in Charlotte
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$51 | $76k–$106k |
| Mid level | $51–$71 | $106k–$147k |
| Senior | $68–$92 | $142k–$191k |
Adjusted for the Charlotte market from national ranges.
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
Ten quiet minutes a day
Applying for data engineer jobs in Charlotte?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.
Start with this search
No email, no resume, no sign-up.
Open your tracker
Everything you saved is already there.