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Meet 650+ Top Data Engineers for Hire

5-day CV delivery

First relevant candidates within 5 business days

$0 recruitment costs

Pay only the rates of hired data specialists

Complete talent support

Full admin, legal, and payroll
management included

Access DOIT’s pre-screened network of 654 data engineering experts across the US, Europe, and LATAM. Receive a tailored shortlist that matches your precise project needs and preferred time zone.

1

Carolina

Data Engineer

$52/hour

São Paulo, Brazil

Availability:

Part-time (25 hrs/week)

Tech stack: Python, SQL, Apache Airflow, Snowflake, AWS, Elasticsearch, Redis, Apache Hive, Docker, Kubernetes

Data engineer with 4 years focused on cloud data infrastructure and pipeline automation. Strong background in designing and maintaining batch processing workflows using Airflow for data orchestration. Previously, built data lake architectures on AWS with automated quality checks and monitoring. Experienced in optimizing query performance and implementing data governance practices across distributed systems.

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Availability:

Part-time (25 hrs/week)

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2

Tomasz

Senior Data Engineer

$55/hour

Warsaw, Poland

Availability:

Full-time

Tech stack: Python, SQL, Apache Spark, Apache Kafka, Azure Data Factory, Databricks, PostgreSQL, MongoDB, Docker

A data engineer with 5 years of experience building production ETL pipelines and data warehouses. Architected scalable data processing systems using Spark and Kafka for real-time analytics. Built automated workflows with Azure Data Factory and optimized database performance for large datasets. Previously led data migration projects and established data quality frameworks for enterprise applications.

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Availability:

Full-time

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3

Dmytro

Senior Data Engineer

$56/hour

Kyiv, Ukraine

Availability:

Full-time

Tech stack: Python, Scala, SQL, Apache Spark, Flink, Kafka, AWS, Google BigQuery, Airflow, Docker, Elasticsearch, Git

A skilled data engineer with 5 years of experience in distributed data processing and real-time analytics. Deep knowledge of the Apache Spark ecosystem and streaming technologies. Built data pipelines that handle terabyte-scale datasets with optimized performance.

Experienced in implementing data quality checks and monitoring systems. Strong background in both cloud and on-premise data infrastructure.

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Availability:

Full-time

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4

Andrés

Middle Data Engineer

$50/hour

Mexico City, Mexico

Availability:

Full-time

Tech stack: Python, SQL, Apache Spark, Apache Kafka, Azure SQL, Power BI, Apache Airflow, Docker, Flask

Experienced integration specialist with 3 years building end-to-end analytics platforms. Can create automated ETL processes connecting multiple data sources and build Power BI dashboards for business intelligence. Develops RESTful APIs with Flask for data access. Focused on database optimization and performance tuning for analytics workloads.

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Availability:

Full-time

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5

Marcus

Senior Data Engineer

$95/hour

Denver, CO, United States

Availability:

Full-time

Tech stack: Scala, Java, Python, Apache Spark, Apache Flink, Databricks, Google BigQuery, Apache Pulsar, Kubernetes, Terraform

Senior data engineer with 6 years of experience specializing in real-time data processing. Proficient in building streaming pipelines using Flink and Pulsar for high-throughput data ingestion. Implemented machine learning data pipelines and automated deployment processes with Kubernetes. Proven track record of mentoring junior engineers and establishing data engineering best practices.

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Availability:

Full-time

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6

Diego

Data Engineer

$53/hour

Buenos Aires, Argentina

Availability:

Full-time

Tech stack: Python, Scala, SQL, Apache Spark, Amazon Redshift, Apache Kafka, Redis, Docker, Jenkins, TensorFlow

ML-focused engineer with 4 years building intelligent data processing systems. Creates sophisticated pipelines supporting machine learning workflows using Spark and Kafka for both batch and streaming operations. Implements advanced data lake solutions on Amazon Redshift with intelligent partitioning strategies. Created data validation frameworks and established CI/CD practices for data engineering projects.

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Availability:

Full-time

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7

Raluca

Senior Data Engineer

$54/hour

Bucharest, Romania

Availability:

Part-time (30 hrs/week)

Tech stack: Python, Java, SQL, Apache Hadoop, Apache Hive, Cassandra, Elasticsearch, Azure DevOps, Kubernetes, Git

Senior data engineer with 7 years in big data processing and NoSQL database management. Manages large-scale Hadoop clusters and implements advanced search analytics through Elasticsearch integration. Designs flexible data models for distributed storage. Proven track record in modernizing legacy systems to cloud-native architectures with automated deployment pipelines via Azure DevOps.

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Availability:

Part-time (30 hrs/week)

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Discover 650+ data engineers for hire in the DOIT talent pool
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How to Hire Data Engineers with DOIT Software

1

Share role details

2

Receive qualified profiles

3

Interview top candidates

4

Hire with confidence

1

Share role details

Connect with DOIT and outline your requirements for a data engineering role, including experience level, technology preferences, project scope, and time zone needs. The talent matching team will schedule a consultation to understand your goals and define the right candidate profile for your project.
2

Receive qualified profiles

DOIT analyzes the talent pool and presents data engineers who match your technical requirements and project needs. Each candidate undergoes a rigorous technical assessment and soft skills evaluation before their profile reaches you.
3

Interview top candidates

Choose which data engineers to interview and conduct as many rounds as needed. DOIT coordinates scheduling and can arrange additional technical assessments tailored to your specific requirements upon request.
4

Hire with confidence

Once you select your ideal data engineer for hire, DOIT manages all administrative aspects, including contracts, equipment provisioning for remote team members, and ongoing HR support. Our team remains available throughout the engagement for feedback and assistance.

What Data Engineers from DOIT Can Work On

Build scalable ETL data pipelines

Create automated workflows that ingest, transform, and load data from multiple sources into your data warehouse or lake.

 

Hire data engineers to design pipeline architectures using Apache Airflow or Azure Data Factory, implement data quality checks, and establish monitoring for reliable data processing.

Design data warehouse solutions

Architect data storage systems optimized for analytics and reporting needs.

 

Data engineers build schemas, implement data modeling best practices, and create efficient query structures for business intelligence tools like Power BI or Tableau.

Implement real-time data processing

Set up streaming data systems that handle continuous data flows for immediate insights.

 

Hire data management engineers to configure Apache Kafka, Apache Flink, Spark Streaming, or similar platforms for real-time analytics and live dashboard updates.

Optimize database performance

Improve query speeds and system efficiency through database tuning and optimization techniques.

 

Data engineering consultants analyze performance bottlenecks, implement indexing strategies, and optimize SQL queries for large-scale data operations.

Automate data workflows

Reduce manual data handling by creating automated scheduling and orchestration systems.

 

Hire data engineers to build workflow automation, implement error handling, and establish retry mechanisms for robust data processing.

Build data integration systems

Connect disparate data sources and create unified data access layers.

 

Hire data integration engineers to develop APIs, implement data transformation logic, and create standardized data formats for cross-system integration and analysis.

Execute complex data migrations

Move data between systems or architectures with minimal downtime and zero data loss.

 

Hire data migration engineers to plan migration strategies, implement data validation protocols, and ensure seamless transitions from legacy systems to modern cloud platforms.

Want to hire the right data engineer for your project?
Let's discuss your data infrastructure needs, and DOIT will help you hire data engineers with relevant experience for your tasks.
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Hire Data Engineers With Relevant Tech Skills

DOIT data engineers work with modern technology stacks across different categories to build robust data infrastructure and processing systems.

Languages
Python
SQL
Scala
Java
Go
Big Data frameworks
Spark
Apache Hadoop
Hadoop
Kafka
Apache Flink
Flink
Apache Airflow
Airflow
Hive
Apache Pulsar
Pulsar
Cloud platforms & data services
Microsoft Azure
AWS
GCP
GCP
Databricks
Databricks
Snowflake
Snowflake
Databases & data storage
PostgreSQL
MySQL
MongoDB
Redis
ElasticSearch
DevOps & Infrastructure
Kubernetes
Jenkins
Azure DevOps
Terraform
Terraform
Business intelligence tools
Power BI
Tableau

Why Hire Data Engineers With DOIT

Access specialized technical screening
DOIT's senior data architects evaluate every candidate through comprehensive technical assessments tailored to your project needs. Our vetting process examines real-world experience with data pipelines, distributed systems, big data frameworks, and cloud platforms to ensure only qualified engineers reach your shortlist.
Tap into cross-industry expertise
With successful placements across fintech, healthcare, e-commerce, logistics, defense tech, and SaaS sectors, DOIT connects you with data engineers who understand industry-specific data challenges and compliance requirements relevant to your business.
Build globally distributed teams
Hire remote data engineers who can work during your business hours with partial or complete overlap. DOIT's network spans over 12 time zones across the US, Canada, Poland, Ukraine, Romania, Bulgaria, Czechia, Argentina, Mexico, and Brazil.
Reduce hiring costs by 60%
Access senior data engineering experts from Eastern Europe and LATAM at significantly lower rates than local North American or EU hiring. Maintain high-quality standards while optimizing your technical budget through strategic global sourcing.
Scale your data team flexibly
Adjust your data engineering team size based on project phases and workload changes. Add specialists during intensive development periods or scale down after implementation with flexible contract arrangements.
Eliminate administrative overhead
Focus on building data solutions while DOIT manages contracts, international payroll, tax compliance, and equipment provisioning. Our comprehensive support covers all HR and legal aspects of managing hired data engineers.

How DOIT Selects the Top 5% of Data Engineers

Deep technical evaluation

Each data engineer undergoes a set of technical screenings with an interview with senior specialists to demonstrate their proficiency in programming languages, databases, frameworks, and cloud data platforms relevant to your tech stack. The screening includes code reviews and system design discussions on real data engineering challenges.

Communication and collaboration skills

Every data engineer must effectively explain technical concepts and collaborate across development and analytics teams. Thus, DOIT ensures that every candidate has strong English proficiency (B2 level minimum) and can clearly document data processes for team knowledge sharing.

Alignment with work requirements

DOIT evaluates how candidates match your collaboration needs, from time zone preferences to work style compatibility. For roles requiring real-time coordination, we source engineers who can maintain substantial overlap with your business hours. We also assess adaptability to remote work environments and readiness for dynamic project requirements.

Let's accelerate your data infrastructure development!

Hire experienced data engineers who can transform your data processing capabilities.

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FAQs About Data Engineers

How much does it cost to hire a data engineer?

The cost of hiring a data engineer varies based on location, experience level, project complexity, and engagement type. According to Glassdoor, annual salaries for data engineers in the US range from $102K to $168K per year as of 2025. Hourly rates typically range from $70 to $150+ in North America and from $45 to $75+ in Eastern Europe and Latin America. With DOIT, you pay only the specialist's rate with no additional recruitment fees or overhead costs.

How long does it take to hire a data engineer with DOIT?

DOIT typically delivers the first data engineer profiles within 5 business days for standard technical requirements. The complete hiring process, from initial consultation to candidate selection, typically takes 2-4 weeks, depending on your needs and the number of interview rounds. For specialized tech stacks or senior-level positions, the timeline may extend, but the hiring team will provide clear expectations and regular updates throughout the process.

What engagement models are available for hiring data engineers?

DOIT specializes in staff augmentation services, providing data engineers who integrate into your existing development teams for full-time or part-time engagement. Through collaboration, you maintain full control over daily management while DOIT handles all administrative, legal, and HR responsibilities for the specialists. DOIT also offers recruitment services for organizations seeking to hire data engineers directly as permanent employees.

What skills should I look for in a data engineer?

Look for strong SQL querying and database management skills, experience with ETL pipeline development, and familiarity with big data frameworks like Apache Spark or Hadoop. Cloud platform knowledge (AWS, Azure, or GCP) and programming experience in Python, Scala, Java, R, or GO are also valuable data engineer skills.

What if the hired data engineer doesn't meet expectations?

DOIT offers a talent guarantee with free replacement services if a data engineer doesn't align with your needs. We facilitate knowledge transfer to ensure project continuity during any transition. Our thorough vetting process minimizes this risk, but we remain committed to finding the right match for your team.

What types of data engineers does DOIT provide?

DOIT provides engineers with expertise in data management, warehouse architecture, infrastructure development, system integration, and migration projects. Contact the DOIT team to discuss your requirements, and we will assist you in hiring the right data specialists for your project.

How much does it cost to hire a data engineer?

The cost of hiring a data engineer varies based on location, experience level, project complexity, and engagement type. According to Glassdoor, annual salaries for data engineers in the US range from $102K to $168K per year as of 2025. Hourly rates typically range from $70 to $150+ in North America and from $45 to $75+ in Eastern Europe and Latin America. With DOIT, you pay only the specialist's rate with no additional recruitment fees or overhead costs.

What skills should I look for in a data engineer?

Look for strong SQL querying and database management skills, experience with ETL pipeline development, and familiarity with big data frameworks like Apache Spark or Hadoop. Cloud platform knowledge (AWS, Azure, or GCP) and programming experience in Python, Scala, Java, R, or GO are also valuable data engineer skills.

How long does it take to hire a data engineer with DOIT?

DOIT typically delivers the first data engineer profiles within 5 business days for standard technical requirements. The complete hiring process, from initial consultation to candidate selection, typically takes 2-4 weeks, depending on your needs and the number of interview rounds. For specialized tech stacks or senior-level positions, the timeline may extend, but the hiring team will provide clear expectations and regular updates throughout the process.

What if the hired data engineer doesn't meet expectations?

DOIT offers a talent guarantee with free replacement services if a data engineer doesn't align with your needs. We facilitate knowledge transfer to ensure project continuity during any transition. Our thorough vetting process minimizes this risk, but we remain committed to finding the right match for your team.

What engagement models are available for hiring data engineers?

DOIT specializes in staff augmentation services, providing data engineers who integrate into your existing development teams for full-time or part-time engagement. Through collaboration, you maintain full control over daily management while DOIT handles all administrative, legal, and HR responsibilities for the specialists. DOIT also offers recruitment services for organizations seeking to hire data engineers directly as permanent employees.

What types of data engineers does DOIT provide?

DOIT provides engineers with expertise in data management, warehouse architecture, infrastructure development, system integration, and migration projects. Contact the DOIT team to discuss your requirements, and we will assist you in hiring the right data specialists for your project.
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