Talent·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.
What they do
They ship ETL/ELT pipelines, dbt models, Airflow / Dagster orchestration, warehouse architecture, and the BI layer above it.
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
What they bring to the table.
Sample profiles
Real engineers. Anonymised.
Profiles below are from current network members, anonymised to protect their next move.
Ana T.
Senior Data Engineer · 8 yrs
"Cut warehouse spend 41% by replatforming the dbt graph."
Lisbon · UTC+0
Bruno K.
Staff Analytics Engineer · 10 yrs
"Built the metrics layer powering an exec dashboard a CFO trusts."
Berlin · UTC+1
Camila S.
Senior Data Platform Engineer · 7 yrs
"Migrated 12 TB of analytics off Hive without downtime."
Mexico City · UTC−6
Why hire through Lateral
Three reasons engineering leaders choose us.
- 01Top 1%, vetted by engineers, not recruiters. Every Data candidate is reviewed by a senior in the same discipline. No keyword matching, no leetcode.
- 02Matched in 7 days, in your time zone. We don't place engineers more than ~4 hours off your business day.
- 03Transparent pricing. 60/25/15: most of what you pay reaches the engineer. See the breakdown.
FAQ