Want to hire Data Engineering developer? Then you should know!
Talk to Our Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Yaroslav Kuntsevych
co-CEO
Upstaff’s Guide to Hire Data and Analytics Team in 2025
Meet Upstaff’s Vetted Data Engineer
'%3e%3cpath%20d='M0%2040.9959H9.00413V50H0V40.9959ZM0%2040.9959H9.00413V50H0V40.9959ZM0%2027.3306H9.00413V36.3348H0V27.3306ZM0%2013.6653H9.00413V22.6694H0V13.6653ZM0%200H9.00413V9.00408H0V0ZM13.2332%2040.9959H50V50H13.2332V40.9959ZM13.2332%2040.9959H50V50H13.2332V40.9959ZM13.2332%2027.3306H50V36.3348H13.2332V27.3306ZM13.2332%2013.6653H50V22.6694H13.2332V13.6653ZM13.2332%200H50V9.00408H13.2332V0Z'%20fill='%232049d8'/%3e%3c/g%3e%3cdefs%3e%3cclipPath%20id='clip0_2_8'%3e%3crect%20width='50'%20height='50'%20fill='white'/%3e%3c/clipPath%3e%3c/defs%3e%3c/svg%3e)
Python
AWS
Kafka
Apache Airflow
Snowflake
- 8+ years of experience as a Data Engineer, Data QA, and Data Science challenges. - AWS Certified Data Analytics.
- Experience creating and supporting of ELT data pipelines built on Snowflake and DBT
- Warehousing models, and support existing processes/ETL’s (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, AWS services
- Software developer with good communication and organizational skills.
Middle
Ternopil, Ukraine
Azure 5yr.
Python 4yr.
Databricks
Apache Airflow
- 12+ years of experience in IT, with 12+ years in Data Engineering and Data Architecture, including Oracle Databases, Data Warehousing, Big Data, and real-time streaming systems;
- Experience in designing and maintaining enterprise Data Warehouses, leading cloud migration initiatives across Azure, AWS, and GCP;
- Strong architectural expertise in ETL/ELT pipelines, batch/real-time processing, and data governance/quality frameworks;
- Deep knowledge of Big Data ecosystems (Cloudera, Hadoop, Databricks, Synapse Analytics, HDInsight, AWS EMR);
- Skilled in multi-cloud architecture design using Snowflake, DBT, Cosmos DB, Redshift, BigQuery, Athena, and Data Lake solutions;
- Experienced in data streaming and integration with Apache Kafka, Apache Spark, PySpark, and Airflow;
- Expertise in BI and reporting systems with Power BI and Tableau for data visualization and analytics delivery;
- Strong foundation in database administration and security: Oracle EBS R12, RAC/ASM, WebLogic, SOA Suite, ERP systems, database audits, and compliance;
- Certified in Azure Data Engineer, AWS Data Analytics Specialty, Confluent Kafka, Oracle DBA.
Senior
Warsaw, Poland
AWS big data services 5yr.
Azure 3yr.
Python
ETL
- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation
- 16+ years experience with data-driven projects
- Strong background in statistics, machine learning, AI, and predictive modeling of big data sets.
- AWS Certified Data Analytics. AWS Certified Cloud Practitioner. Microsoft Azure services.
- Experience in ETL operations and data curation
- PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake
- Big Data Fundamentals via PySpark, Google Cloud, AWS.
- Python, Scala, C#, C++
- Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.
Expert
Ukraine
Python 9yr.
SQL 6yr.
Databricks
PySpark
- 9 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer
- Built and optimized production-grade PySpark pipelines handling millions of records, including complex transformations, joins, aggregations, and backfills, with a strong focus on performance and data quality.
- Automated Web scraping (Beautiful Soup and Scrapy, CAPTCHAs and User agent management)
- Data QA, SQL, Pipelines, ETL
- Data Analytics/Engineering with Cloud Service Providers (AWS, GCP)
- Extensive experience with Spark and Hadoop, Databricks (hands-on with Spark-based pipelines deployed in cloud environments and have used Databricks as the execution and collaboration layer: jobs, notebooks, cluster configs).
- 7 years of experience working with MySQL, SQL, and PostgreSQL;
- 5 years of experience with Amazon Web Services (AWS)
- Google Cloud Platform (GCP): BigQuery, GCS, App Engine, data pipelines, and Azure (basic knowledge)
- Data Analytics/Engineering services, Kubernetes (K8s)
- 5 years of experience with PowerBI
- 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense;
- 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch;
- Extensive hands-on expertise with Reltio MDM, including configuration, workflows, match rules, survivorship rules, troubleshooting, and integration using APIs and connectors (Databricks, Reltio Integration Hub), Data Modeling, Data Integration, Data Analyses, Data Validation, and Data Cleansing)
- Upper-intermediate to advanced English
Senior
Portugal
Python
MatLab
TensorFlow
PyTorch
- Machine Learning and Data Engineer with 10+ years of professional experience.
- Knowledge of a wide range of programming languages, technologies and platforms, inc Python, JavaScript, C/C++, MATLAB;
- Extensive experience with designing and academic analysis of AI/ML algorithms, data analytics, mathematical optimization, modern statistical and stochastic models, robotics;
- Determining and analyzing business requirements, communicating with clients and architecting software product;
- Solid experience in engineering and design of robust and efficient software products;
- Track record of performing as a member of large-scale distributed engineering teams;
- Strong knowledge of OOP/OOA/OOD, database modeling;
- Experience with cutting edge Semiconductor Engineering;
- Proficient in writing and presentation of grants, projects reports and documentation;
- Fluent English;
- Upper-Intermediate German and Dutch.
Senior
Rotterdam, Netherlands
SQL 8yr.
Python 6yr.
Tableau 6yr.
Apache Airflow
Power BI
- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills (SQL, Airflow).
- 6+ years of experience with Tableau (Certified Tableau Engineer)
- Experience in Operations analysis, building charts & dashboards
- 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results.
- Adept with different SDLC methodologies: Waterfall, Agile SCRUM
- Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced)
- Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis
- AWS, Redshift
- Combined expertise in data analysis with solid technical qualifications.
- Advanced English, Intermediate German
- Location: Germany
Senior
Germany
Scala
Software Engineer with proficiency in data engineering, specializing in backend development and data processing. Accrued expertise in building and maintaining scalable data systems using technologies such as Scala, Akka, SBT, ScalaTest, Elasticsearch, RabbitMQ, Kubernetes, and cloud platforms like AWS and Google Cloud. Holds a solid foundation in computer science with a Master's degree in Software Engineering, ongoing Ph.D. studies, and advanced certifications. Demonstrates strong proficiency in English, underpinned by international experience. Adept at incorporating CI/CD practices, contributing to all stages of the software development lifecycle. Track record of enhancing querying capabilities through native language text processing and executing complex CI/CD pipelines. Distinguished by technical agility, consistently delivering improvements in processing flows and back-end systems.
Senior
Ukraine
Python 10yr.
PyTorch 6yr.
TensorFlow 6yr.
Kubernetes 4yr.
LangChain 1yr.
- Senior Machine Learning Engineer with 10+ years architecting scalable AI systems, specializing in deep learning, LLM orchestration, and MLOps across AWS, Azure, and Databricks.
- Expertise in Python, C++, Java, Rust, and Go, with advanced skills in PyTorch, TensorFlow, LangChain, Kubernetes, and distributed computing frameworks.
- Proven track record delivering enterprise-grade AI products including multi-agent LangGraph pipelines, real-time voice tutoring platforms, and decentralized ML infrastructure.
- Strong background in computer vision, NLP, and autonomous systems, with hands-on experience in YOLO, OpenCV, CUDA, and GPU optimization.
- Master’s degree in Computer Science, skilled in CI/CD, containerization, microservices, and compliance-driven software development for high-impact AI applications.
Architect/Team-lead
United States
Talk to Our Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Yaroslav Kuntsevych
co-CEO
Why Upstaff
Real-time project team launch
<24h
Interview First Engineers
Upstaff's network enables clients to access specialists within hours & days, streamlining the hiring process to 24-48 hours, start ASAP.
x10
Faster Talent Acquisition
Upstaff's network & platform enables clients to scale up and down blazing fast. Every hire typically is 10x faster comparing to regular recruitement workflow.
Vetted and Trusted Network
100%
Security And Vetting-First
AI tools and expert human reviewers in the vetting process is combined with track record & historically collected feedbacks from clients and teammates.
~50h
Save Time For Deep Vetting
In average, we save over 50 hours of client team to interview candidates for each job position. We are fueled by a passion for tech expertise, drawn from our deep understanding of the industry.
Flexible Engagement Models
Custom Engagement Models
Flexible staffing solutions, accommodating both short-term projects and longer-term engagements, full-time & part-time
Unique Talent Ecosystem
Candidate Staffing Platform stores data about past and present candidates, enables fast work and scalability, providing clients with valuable insights into their talent pipeline.
Transparent
$0
No Hidden Costs
Price quoted is the total price to you. No hidden or unexpected cost for for candidate placement.
x1
One Consolidated Invoice
No matter how many engineers you employ, there is only one monthly consolidated invoice.
How to hire with Upstaff
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Meet Carefully Matched Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.
Trusted by Businesses
Upstaff operates as a partner, not just an agency. Express that they aim for long-term cooperation and are dedicated to fulfilling client requirements, whether it’s a short one-month project or a more extended collaboration.
Trusted by People - Testimonials and Reviews
Case Studies
We closely collaborate with recruitment & talent acquisition teams on urgent or hard-to-fill positions. Discover how startups and top-tier companies benefit.
Data Analysts
- Business Analysts
- Data Quality Analysts
- Product Analysts
- Healthcare Analysts
- Data Visualization Experts
Data Engineers
- Database Engineers
- Big Data Engineers
- Cloud Engineers
- ETL Engineers
- Data Modelers
Data Scientists
- AI Developers
- Machine Learning Engineers
- NLP Engineers
- Prompt Engineers
- Language Model Trainers
FAQs on Data Engineering Development
What is a Data Engineering Developer?
A Data Engineering Developer is a specialist in the Data Engineering framework/language, focusing on developing applications or systems that require expertise in this particular technology.
Why should I hire a Data Engineering Developer through Upstaff.com?
Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Engineering Developers, ensuring you find the right talent quickly and efficiently.
How do I know if a Data Engineering Developer is right for my project?
If your project involves developing applications or systems that rely heavily on Data Engineering, then hiring a Data Engineering Developer would be essential.
How does the hiring process work on Upstaff.com?
Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Engineering Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.
Review Candidates: Access profiles of qualified Data Engineering Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.
What is the cost of hiring a Data Engineering Developer?
The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.
Can I hire Data Engineering Developers on a part-time or project-based basis?
Yes, Upstaff.com allows you to hire Data Engineering Developers on both a part-time and project-based basis, depending on your needs.
What are the qualifications of Data Engineering Developers on Upstaff.com?
All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.
How do I manage a Data Engineering Developer once hired?
Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.
What support does Upstaff.com offer during the hiring process?
Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.
Can I replace a Data Engineering Developer if they are not meeting expectations?
Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.