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 Developers in 2025
Meet Upstaff’s Vetted Data Engineer
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Databricks 5yr.
Azure Data Factory 2yr.
PySpark 2yr.
AWS Glue
SQL
- Over 6 years of experience with high-volume data platforms (PySpark, Databricks), and orchestrating pipelines with Apache Airflow and Azure Data Factory. AWS and Azure cloud services for ELT processes.
- Delivered consulting services for Banking (Santander), Retail (Mango, Zalando), Insurance (Reale Seguros), and Industry (Telefónica, Técnicas Reunidas) on Databricks Lakehouse adoption and data platform strategy.
- Strong background in ML model industrialization, ETL processes, and optimization of Spark configurations
- Hosted the first Databricks User Group Meetup in Madrid and attended the DAIS 2025 in San Francisco.
Snowflake 2yr.
Databricks 1yr.
SQL
ETL Pipelines
AWS Glue
- 15 years of experience in software and data engineering. Expertise in designing and implementing cloud-native data lakehouse solutions using Snowflake, Azure Databricks, and Apache Kafka with CDC and Lambda/Kappa architectures.
- Proficient in Go, Python, SQL, PL/SQL, ETL, dbt, Airflow, Debezium, and CI/CD pipelines with GitLab, enhancing data ingestion and transformation workflows. AWS and Azure cloud services.
- Led development of zero-downtime upgrade features for VMware vSphere, holding patents for innovative software-defined data center upgrade methods.
- Data consulting for Neoshare AG, DSK Bank, OpenTag EOOD, VMware, CODIX S.A and IBM.
SQL 13yr.
Azure Data Factory 4yr.
Snowflake 3yr.
dbt 2yr.
Databricks
- Over 15 years of expertise in designing and implementing ETL/ELT, high-availability databases and advanced BI solutions across cloud and on-premises platforms, including Snowflake, AWS, Azure, and SQL Server.
- Proficient in SQL (T-SQL, PL-SQL), Python (NumPy, Pandas), MDX, and ETL tools such as dbt, SSIS, and Azure Data Factory, with strong experience in data warehouse architecture and migration projects.
- Solid foundation in computer science with MSc in Microsoft Information Technologies and hands-on experience in Microsoft BI stack, cloud data engineering, and agile methodologies, including SCRUM and Azure DevOps.
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.
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
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
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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.