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.

Hire Data Engineers: 650+ Global Vetted Experts
Share your requirements, get matched with 1-3 qualified specialists, and start building a scalable data infrastructure with ongoing talent support.
Meet 650+ Top Data Engineers for Hire
First relevant candidates within 5 business days
Pay only the rates of hired data specialists
Full admin, legal, and payroll
management included

Carolina
$52/hour
São Paulo, Brazil
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.
Part-time (25 hrs/week)

Tomasz
$55/hour
Warsaw, Poland
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.
Full-time

Dmytro
$56/hour
Kyiv, Ukraine
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.
Full-time

Andrés
$50/hour
Mexico City, Mexico
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.
Full-time

Marcus
$95/hour
Denver, CO, United States
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.
Full-time

Diego
$53/hour
Buenos Aires, Argentina
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.
Full-time

Raluca
$54/hour
Bucharest, Romania
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.
Part-time (30 hrs/week)
How to Hire Data Engineers with DOIT Software
Share role details
Receive qualified profiles
Interview top candidates
Hire with confidence
Share role details
Receive qualified profiles
Interview top candidates
Hire with confidence
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.

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.









Why Hire Data Engineers With DOIT
How DOIT Selects the Top 5% of Data Engineers
Deep technical evaluation
Communication and collaboration skills
Alignment with work requirements
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