Specialization · $70–170/hr · Demand: High

Data Engineering & Big Data
The pipelines everything else depends on.

If the dashboards are wrong, it's usually a pipeline problem three layers upstream. This is where we vet for people who own that whole chain.

I'm looking for a Data Engineering & Big Data role → I need Data Engineering & Big Data talent →
What We Actually Vet For

Not just the stack name.
The tools underneath it.

Anyone can list a technology on a resume. Here's what our screen specifically checks for in Data Engineering & Big Data.

Pipeline Orchestration
Airflow, dbt, ETL and ELT design
Modern Data Stack
Snowflake, Databricks, BigQuery
Streaming & Big Data
Kafka, Spark, real-time processing
Data Modeling
Dimensional modeling, warehouse architecture, SQL optimization
Published Rate Range

$70–170/hr
C2C, by experience level

Current market demand: High, trending Rising. Full tiered breakdown and methodology on the rate table.

Other specializations
AI / ML & Data Science → Cybersecurity → Cloud & DevOps → Business & Data Analytics → Mobile Development →
Open Roles, This Stack

Currently hiring

See full JDs on the job board →

Whether you're hiring or looking,
start with one conversation.

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