Talent & Teams·By Discipline·Data
Hire Data Engineers.
Pipelines, warehouses, and the unsexy work everything else depends on.
Senior data engineers embedded in your team through staff augmentation. The discipline most companies underinvest in until it bites them. Lateral data engineers know how to build pipelines that don’t silently drop rows, warehouses that don’t cost a fortune, and dashboards leadership actually trusts.
How it works
The work, in practice.
They ship ETL/ELT pipelines, dbt models, Airflow / Dagster orchestration, warehouse architecture, and the BI layer above it. They speak SQL fluently and can argue the merits of Iceberg vs. Delta over a coffee.
Common stacks
The tools of the trade.
From the network
People, not profiles.
Ana T. · Senior Data Engineer
Cut warehouse spend 41% by replatforming the dbt graph.
PythondbtSnowflakeAirflow
Bruno K. · Staff Analytics Engineer
Built the metrics layer powering an exec dashboard a CFO trusts.
SQLdbtBigQueryLooker
Camila S. · Senior Data Platform Engineer
Migrated 12 TB of analytics off Hive without downtime.
IcebergSparkKafkaDatabricks
FAQ
Before you ask.
Can they own a warehouse rewrite end-to-end?
Do they care about data contracts?
Will they help with ML feature stores?
Tell us what has to move.
A 30-minute call with an engineer, not a salesperson. We will map the capacity and ownership the work actually needs.