Hire a data engineer without paying $145K+ a year. Get pre-vetted, AI-fluent data engineers starting at $5K per month. We handle sourcing, vetting, payroll, and compliance so you can stop babysitting broken pipelines, get every source flowing into one warehouse, and give your analysts data they do not have to second-guess.
Your data infrastructure is probably held together by scheduled scripts, manual CSV pulls, and one engineer who dreads Monday mornings because that is when the pipelines break. Local data engineers command some of the highest salaries in tech, and the good ones are gone within days of entering the market. Our model closes that gap with rigorously vetted data engineers who can rebuild your pipelines properly, available in weeks instead of quarters.
Every candidate goes through structured skills-based testing, real-world scenario evaluation building and debugging actual pipelines, and a hands-on AI fluency assessment. When you hire a data engineer through us, they are committing to your dbt project and orchestration within 30 days, and we handle the employment contract, payroll, and compliance so you add capacity without adding admin.
A data engineer builds the pipelines and warehouse infrastructure that move data from your tools and product into one place analysts can trust. A dedicated one means the data is simply there, fresh and correct, every morning.
The trigger moment is a dashboard that quietly showed stale data for two weeks before anyone noticed.
Your pipelines break weekly and the same engineer keeps getting pulled off product work to patch them
Analysts spend most of their time cleaning and reconciling data instead of analyzing it
Critical reporting still depends on manual exports and a spreadsheet someone updates by hand
Every new data source takes weeks to integrate because nothing about your stack is repeatable
We only work with the top 5% of candidates when companies hire data engineer through us. Every candidate is skills-tested on the exact work this role does, assessed for AI fluency on real tasks, and scored with our proprietary Remote Readiness Score — built from 1,000+ successful remote hires — before they reach your team.
Builds idempotent, tested pipelines that recover from failure instead of requiring a human every time
Models data for the questions analysts will ask next year, well past this quarter's dashboard
Treats data quality checks as part of the pipeline, so bad data stops before it spreads
Keeps warehouse costs visible and tuned, catching the runaway query before the invoice does
You share job description, core requirements & key skills we should screen for.
We run skills-based testing and manual screening, then deliver 3-5 candidates.
We confirm each candidate is interested in your role & aligned with your company.
You interview each candidate and, if needed, run a 1-2 hour test project.
We handle identity verification, NDA, compliant contracts & full payroll setup.
Talent is embedded into your team and works like any other team member.
Hiring a data engineer locally typically costs $12,000 to $15,000 per month once you factor in salary, benefits, and overhead. With our model, you can reduce that cost by up to 70% while still getting a full-time data engineer working directly inside your warehouse, dbt project, and orchestration stack.
We employ your engineer, handle contracts, payroll, benefits, and HR admin, and stay accountable after placement. When you hire a data engineer this way, the infrastructure compounds, every month adds tested models, documented sources, and pipelines your whole company quietly relies on.
Deeply vetted engineering for the layer your decisions depend on, at a cost that leaves budget for the rest of the stack. Hire a data engineer and make broken pipelines a memory.
Hire a Data Engineer