Data Engineering Talent
Data engineers build the pipelines and infrastructure that make data accessible and reliable. Our data engineers design ETL workflows, data warehouses, and real-time streaming systems that power analytics, ML models, and business intelligence.
Hire data engineer through ZTABS — pre-vetted Data Engineering talent with 4+ years average experience, matched in 48 hours. Our network includes 180+ Data Engineering specialists. Starting from $55–$110/hr. Replacement guarantee included. Get matched now →
Every data engineer we place has been vetted for production-level expertise across these core competencies.
Data engineering specialists understand data modeling, pipeline orchestration, and warehouse optimization at a level that software engineers typically do not. They build systems that handle terabytes of data reliably, with proper lineage tracking, quality checks, and cost management.
Snowflake or BigQuery warehouse with Airflow-orchestrated ETL pipelines, dbt transformations, and data quality monitoring.
Kafka-based event streaming with Spark processing for real-time dashboards, fraud detection, or recommendation feeds.
S3 or GCS data lake with medallion architecture, schema enforcement, and self-service query capabilities for analysts.
Source: ZTABS Developer Network 2024-2026
When hiring data engineer, prioritize candidates with production deployment experience over those who only have portfolio projects. Ask about their last 3 production deployments and what went wrong — it reveals real expertise fast.
Every Data Engineering developer passes our multi-stage assessment: Data Engineering-specific coding challenges, system design review, code quality audit, and cultural fit evaluation. Only the top 3% of applicants make it through. You interview pre-qualified data engineer — not resumes.
We present 2-3 qualified data engineer within 48 hours of your request. Our network includes 180+ Data Engineering specialists with 4+ years average experience — no waiting weeks for recruiters to source candidates.
Our data engineer join your Slack, your standups, and your Data Engineering codebase. They follow your coding standards, use your CI/CD pipeline, and attend your sprint ceremonies — fully embedded in your engineering team from day one.
We're not just a staffing agency — we've built 23+ production products including Agiled, Chatsy, and Morphed. Our data engineer bring that hands-on Data Engineering production experience to your team, not just textbook knowledge.
Only 3% of applicants make it through. Every data engineer we place has passed all four stages.
We review Data Engineering project history, GitHub contributions, open-source work, and production deployments to verify hands-on Data Engineering experience.
Timed coding challenges covering Python / SQL, Apache Spark / PySpark, Airflow / Dagster — plus system design problems that test real-world Data Engineering architecture decisions.
A 60-minute live coding session where candidates build a feature using Data Engineering alongside our senior engineers — testing code quality, debugging skills, and communication.
Soft skills evaluation focused on async communication, sprint collaboration, and the ability to integrate into your existing engineering team from day one.
Choose the model that fits your project needs. No long-term contracts — scale up or down as your project demands.
A data engineering developer works exclusively on your project, 40 hours/week. Best for ongoing product development and long-term projects.
20 hours/week of dedicated data engineering development. Ideal for startups, maintenance, or projects that don't need full-time capacity.
Fixed-scope data engineering development with a defined timeline and deliverables. Best for specific features, migrations, or MVPs.
Multiple data engineering developers join your existing team. Best for scaling quickly when you need to ship faster.
Beyond hiring data engineer, we offer these related services:
Common questions about hiring data engineer
We present 2-3 pre-vetted data engineer within 48 hours. After you interview and select, developers can start within 3-5 business days.
Get matched with pre-vetted data engineer in 48 hours. No long-term contracts. Replacement guarantee.