Data Engineering Talent
Pre-vetted Data Engineers skilled in cloud-native pipelines, lakehouses, and scalable architectures — placed on contract, permanent, or as managed teams.
The Hiring Challenge
Experienced pipeline and lakehouse engineers are rare.
Roles sit open for months while projects wait.
Streaming, dbt, and lakehouse expertise is hard to source.
No fast way to ramp a platform team.
What They Bring
Automated, resilient ingestion and transformation.
Open-format platforms for analytics and AI.
Real-time data with Kafka and Spark.
Performant, business-ready models.
Lineage, testing, and data quality.
Azure, AWS, and GCP experience.
Candidate Expertise
These are the tools our Data Engineers know deeply — proof of the caliber we provide, not a menu of implementation services.
How We Work
We align on the role, skills, seniority, and goals.
We tap our specialized Analytics talent network.
Rigorous screening for skill, seniority, and fit.
You get a curated shortlist in about two hours.
Your new hire ramps fast and starts contributing.
Where They're Hired
Real-time fraud data pipelines.
Customer-360 lakehouse teams.
Compliant, governed data platforms.
How You Hire
Flexible specialists for project-based needs.
Evaluate on contract before a permanent commitment.
Full-time professionals matched to your stack.
A fully managed pod that owns the outcome.
Why Levi
We staff data and analytics exclusively — it is all we do.
Vetted candidates in about two hours from a ready specialist network.
Rigorous screening for skill, seniority, and fit.
We match for the long term, not just the requisition.
FAQs
For many roles we present vetted candidates in about two hours.
From mid-level engineers to principal and lead data engineers.
Both — plus contract-to-hire so you can evaluate before committing.
We provide replacement support so you are never stuck.
Tell us the roles you need — we'll send vetted candidates in about two hours.