Talent — Data Engineers & Analysts
Hire data engineers who build pipelines that don't break at 3 AM.
Zenaide places pre-vetted data engineers, analytics engineers, and data architects — from pipeline builders to warehouse designers — on a contract, contract-to-hire, or permanent basis.
Every company is a data company. Very few have the engineering team to prove it.
The gap between "we want to be data-driven" and "our data infrastructure actually works" is almost always an engineering problem. Dashboards don't build themselves. Pipelines don't stay reliable without engineers who design for failure, monitor for drift, and optimize for cost at scale.
Experienced data engineers who can design production-grade pipelines, model data for analytics and ML, and operate warehouse infrastructure reliably are among the hardest technical hires to make — because every company needs them and few can evaluate them properly.
Zenaide maintains an active pipeline of data engineers and analytics engineers who have built real data platforms — not just Jupyter notebooks.
Tools and platforms.
Capabilities.
Roles we place.
How we vet data engineering talent.
Pipeline design assessment
Evaluate ability to design scalable data pipelines — ingestion patterns, transformation logic, orchestration strategy, and failure handling.
SQL and modeling depth
Deep SQL assessment plus data modeling evaluation — dimensional modeling, slowly changing dimensions, incremental processing, and query optimization.
Tool and platform proficiency
Stack-specific evaluation across warehouse platforms (Snowflake, BigQuery, Redshift), orchestration tools (Airflow, dbt), and streaming systems (Kafka, Spark Streaming).
Production and collaboration skills
Data engineers serve every team. We assess ability to work with analysts, ML engineers, and business stakeholders — translating requirements into reliable data products.
Your next data hire is in our pipeline.
Tell us the stack, the data volumes, and the timeline. We'll present pre-vetted data engineers who build infrastructure that scales — and stays reliable.