~# Lead Data Engineers – Azure/ Databricks/ SnowflakeUnited States · Full-time · Senior#### About The Position**Lead Data Engineers – Azure/ Databricks/ Snowflake****Department:** Sales and Delivery Team - Empower**Indus…
Engineering & IT · Miami, FL
Data Engineer jobs in Miami, FL
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.
186
Open roles today
$41–$103/hr
Typical pay range
$142k
Median, full-time
5
Fresh in this list
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01
Open data engineer roles
12 shown of 186 · sorted by freshness
an exciting career opportunity for a full time Senior Analyst, Data Architect reporting to the Senior Manager, Data Analytics &... ...in area of specialty ~3+ years of experience in a data/cloud engineering role ~ Experi…
contribute to making the world more resilient. About the Engineering Underwriting Role: As an Engineering Underwriting Analyst... ...and global critical projects such as semiconductor plants, data centres, battery manufa…
$149k - $170k
Quake AI business delivers AI compute as a service, operating AI data centers including GPU and CPU compute, storage, and networking... ...For more information visit . Rumble is seeking a Senior Data Engineer to design,…
$150k - $180k
job summary: Are you a senior data architect looking to lead a massive data modernization effort at a premier legal services provider? We are seeking a heavyweight backend engineering professional to champion the transit…
Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with…
transitioning service members hands-on experience in Equinix’s data center operations. Interns will support routine and semi-routine... ...Class of Q1' 2026 supporting the Data Center Critical Facilities Engineer. The tr…
$140k - $231k
of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Engineer Overview We are seeking a Lead Data Engineer with expertise in Apache Spark, Ap…
guests. The Royal Caribbean Group’s Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is onsite and ba…
Our platform integrates EHR, claims, device, and care management data to power risk stratification, cohort building, care gap... ...We are seeking a highly skilled ETL Specialist (Healthcare Data Engineer) to design, bui…
Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform. Our primary mission is…
Department: Information Technology CGS is seeking a PostgreSQL Database Developer to join our team supporting a rapidly growing Data Analytics and Business Intelligence platform focused on providing data solutions that e…
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What data engineers earn in Miami
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $41–$57 | $86k–$119k |
| Mid level | $57–$79 | $119k–$165k |
| Senior | $77–$103 | $160k–$215k |
Adjusted for the Miami 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
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Senior Data Engineer
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Staff Data Engineer
05
Data Platform Lead
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