$67.19 per hour
type: Contract salary: $67.19 - 74.36 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Data Engineering & Big Data Architecture: Design, build, and maintain high-throughput streaming and batch data…
Engineering & IT · Richmond, VA
Data Engineer jobs in Richmond, VA
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.
129
Open roles today
$37–$93/hr
Typical pay range
$128k
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
12 shown of 129 · sorted by freshness
~ This position is hybrid in Richmond, VA. Our client has an opening for a Oracle APEX Developer / Programmer Analyst 3 (796854) This position is up to 15 months with the option of extension. The client is located in Ric…
Hello All, I hope you're doing well. Role: Lead Data Engineer - SQL Server / ETL / NEIEN XML / Migration Location: U.S.-based / onshore. Most work may be performed from the Supplier's location, with onsite presence at Vi…
reviewed at critical points.Work is done independently and is reviewed at critical points.Workplace type: Remote WorkingAbout NTT DATANTT DATA is a $30+ billion trusted global innovator of business and technology service…
$80.46k - $142.72k
is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.We are... ...you will lead the electrical discipline of multiple concurrent data center pr…
Job-ID27855667Reference26-08833Required: Epic Willow Ambulatory (WAM) or Willow Inpatient (WIP)Graduate of an accredited School of Pharmacy with a B.S. in Pharmacy or Pharm.D. DegreeThe Application Analyst-Pharmacist par…
$209k - $238.5k
Overview Data Engineer 5 Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capita…
Role: Data Engineer Location: St louis, MI/ Richardson, TX/ Chicago, IL Term: Contract Skills : data bricks . azure, Scala, python. spark
$209k - $238.5k
Overview Data Engineer 5 (Python, SQL, Databricks, Snowflake) (Enterprise Platforms Technology) Position Overview We are seeking a Data Engineer to develop the technical vision, architectural design, and implementation o…
$85.39k - $116.98k
Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer) - II Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Secu…
Job Summary We are seeking an experienced Oracle JD Edwards (JDE) Lead Developer with strong technical expertise in JDE EnterpriseOne development, system architecture, integrations, and troubleshooting. The ideal candida…
Richmond, VA (Hybrid) Duration: Through July 31, 2026 with possible extension Role Summary: Seeking a Database Administrator / Data Engineer with experience migrating on-prem SQL Server databases to AWS and Snowflake. Th…
02
What data engineers earn in Richmond
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 Richmond 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 Richmond?
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.