$68.45k - $95.42k
Senior Analyst, Data Action Location: Remote Department: Supply Chain Management Schedule: Full time, Days Salary: $68,450.00 – $95,416.00 per year Resource Group associates filling remote roles are expected to be availa…
Engineering & IT · St. Louis, MO
Data Engineer jobs in St. Louis, MO
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.
192
Open roles today
$35–$86/hr
Typical pay range
$119k
Median, full-time
6
Fresh in this list
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01
Open data engineer roles
12 shown of 192 · sorted by freshness
$123k - $163k
services concepts and terminology, particularly in wealth management ~ Proficient in T-SQL, relational databases, and foundational data modeling principles ~ Ability to write SQL queries that aggregate, analyze, and stru…
$123k - $163k
year Requirements: We require a bachelors degree in Computer Science, Engineering, Information Systems, or another related technical field. We are looking for 2–5 years of experience in data engineering, analytics engine…
Kforce's client in Chesterfield, MO is seeking a Data Engineer to join a global Smart Manufacturing Solutions team responsible for connecting operational technology (OT) environments with enterprise data platforms. This…
$80 - $85 per hour
MatchPoint Solutions is a fast-growing, young, energetic global IT- Engineering services company with clients across the US . We provide... ...forward to hearing from you! Job Description Role: Tier 3 Data Center Network…
Make an impact by using your expertise to protect our country from threats. Job Description We are seeking a Data Science Analyst/ Engineer to join our Program working with the Data Engineering Team responsible for integ…
Summary Spire is seeking to fill a Data Engineer II position. This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and architecture. This role i…
$55.4k - $113k
changing technology solutions. We are looking for Fullstack Engineers who will collaborate with clients to transform their business... ...planet, while building trust in capital markets. Enabled by data, AI and advanced…
Job Description Job Description We're partnering with an established manufacturing organization seeking a Data Engineer to support enterprise data integration and analytics initiatives. This role focuses on building and…
Job Description Job Description iQuasar is seeking to fill a Data Engineer in St. Louis, MO . Position: Data Engineer Location: St. Louis, MO ( Onsite Mon-Fri) - Travel expenses will be paid Clearance: Secret Role Overvi…
Job Detail Organization: GeoAcuity Title: DATABASE ENGINEER Location: On-site -St. Louis, MO | DC Metro | Springfield, VA | Redlands... ...understand business and technical requirements, design enterprise data management…
Overview Help power mission-critical systems through enterprise data. As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelli…
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What data engineers earn in St. Louis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$48 | $72k–$99k |
| Mid level | $48–$66 | $99k–$138k |
| Senior | $64–$86 | $133k–$179k |
Adjusted for the St. Louis 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
03
Senior Data Engineer
04
Staff Data Engineer
05
Data Platform Lead
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