Hire a
 Data Engineer

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

About the role

What Makes a Great
Data Engineer

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

What Data Engineers Do at a Glance

1

Data Architecture & Modeling

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

2

Pipeline Development & Automation

Build and manage ETL/ELT pipelines that move, clean, and transform data across multiple systems seamlessly.

3

Performance & Quality Monitoring

Optimize query performance, monitor data integrity, and prevent system bottlenecks through automation and alerts.

4

Collaboration & Delivery

Partner with data scientists, analysts, and product teams to deliver trusted, accessible data for decision-making.

TALENT SPOTLIGHT

Why Leading Teams Choose Covenal

Explore pre-vetted professionals ready to join your team — experts who turn raw data into actionable intelligence.

Sophie D.

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

Felipe B.

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

Our Data-Driven Hiring Process

Every engineer you meet through Covenal passes a rigorous, data-informed evaluation — ensuring both technical mastery and seamless collaboration.

1

Data

Analyze technical requirements and ideal profiles.

2

Vetting

Combine automated testing with expert human review.

3

Delivery

Present only pre-vetted candidates ready to integrate quickly.

WHY COVENAL

Why Leading Teams Choose Covenal

200+ successful placements worldwide. Our AI-specialized process helps startups and enterprises hire faster, smarter, and with lasting results.

Global Talent Network

Access pre-vetted AI experts across every major time zone — ready to join your team in days.

Data-Driven Vetting

We handle contracts, equipment, payroll, and compliance globally.

Fast, Reliable Matching

Every candidate passes technical, communication, and cultural screening.

Faq

Answers to Common Questions

We make AI hiring simple, transparent, and efficient. Here are some of the most common questions we get.

Do you support companies outside the U.S.?
What’s included in your service?
How do you vet candidates?
What’s the difference between Intelligent Staffing and Direct Hire?
What types of AI roles can you help us fill?
How long does it take to hire AI talent through Covenal?

Ready to Hire Your Next Data Engineer?

Let’s match you with the best data experts to power your AI infrastructure.

Start Hiring Now