Design and maintain scalable data systems, defining models and schemas that ensure consistency and performance.

About the role
A Data Engineer combines deep technical expertise with a systems mindset. They architect and manage pipelines that transform raw data into usable formats for analytics and AI models. Their work is the invisible backbone that keeps your data-driven operations efficient, accurate, and scalable.
Core RESPONSIBILITIES
Design and maintain scalable data systems, defining models and schemas that ensure consistency and performance.
Build and manage ETL/ELT pipelines that move, clean, and transform data across multiple systems seamlessly.
Optimize query performance, monitor data integrity, and prevent system bottlenecks through automation and alerts.
Partner with data scientists, analysts, and product teams to deliver trusted, accessible data for decision-making.
TALENT SPOTLIGHT
Explore pre-vetted professionals ready to join your team — experts who turn raw data into actionable intelligence.

Data Engineer
Sophie is a cloud-native data expert with strong experience designing and automating data transformations for enterprise-scale systems. She’s led successful migrations from legacy warehouses to modern cloud stacks, improving scalability and governance across analytics workflows.
Snowflake
AWS
Terraform
Redshift
Data Modeling
SQL
Python

Data Engineer
Felipe has over 8 years of experience designing and optimizing large-scale data infrastructures. He specializes in building automated ETL pipelines and scalable cloud architectures that enable fast, reliable analytics for fintech and SaaS companies.
Python
Airflow
Spark
PostgreSQL
Databricks
AWS
CI/CD
How it Works
Every engineer you meet through Covenal passes a rigorous, data-informed evaluation — ensuring both technical mastery and seamless collaboration.

Analyze technical requirements and ideal profiles.

Combine automated testing with expert human review.

Present only pre-vetted candidates ready to integrate quickly.
WHY COVENAL
200+ successful placements worldwide. Our AI-specialized process helps startups and enterprises hire faster, smarter, and with lasting results.
Access pre-vetted AI experts across every major time zone — ready to join your team in days.
We handle contracts, equipment, payroll, and compliance globally.
Every candidate passes technical, communication, and cultural screening.
Faq
We make AI hiring simple, transparent, and efficient. Here are some of the most common questions we get.
Yes, we operate globally. Our vetted talent network spans 30+ countries and aligns with your time zone and language preferences.
We manage contracts, global payroll, compliance, and onboarding. You only focus on results — we handle the operational details.
Our data-driven vetting process combines technical assessments, communication reviews, and cultural alignment checks — ensuring every candidate fits both technically and personally.
Intelligent Staffing provides long-term, dedicated experts managed by Covenal, ideal for scaling teams.
Direct Hire connects you directly with full-time employees for strategic, permanent placements.
We source across the full spectrum of AI expertise: data scientists, ML engineers, research scientists, software engineers, DevOps experts, and more.
Our process is fast — most clients meet vetted candidates within 5–10 days. The timeline depends on your specific role requirements and level of seniority.
Let’s match you with the best data experts to power your AI infrastructure.
Start Hiring Now