Hire 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
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.
Current network members, anonymised to protect their next move.
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
How you engage them
One person, or the whole shape.
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 do not place engineers more than about four hours off your business day.
- 03Transparent pricing. 60 / 25 / 15: most of what you pay reaches the engineer. See the terms.
FAQ
Honest answers, common questions.
Can they own a warehouse rewrite end-to-end?
Do they care about data contracts?
Will they help with ML feature stores?
Hire Data talent.
Tell us the role. A vetted shortlist by next week, in your time zone.