Hire Data Engineers
Browse 209.8k+ verified data engineer profiles on Stackforce
Rubish Gupta
Engineering Manager
at Rippling
Prachi Mahamuni
Conversion Rate Optimization Manager
at Annex Cloud
Vishal L.
Staff Software Engineer
at Ping Identity
Shinoy Sharma
Associate Product Manager
at o9 Solutions, Inc.
Vipul Kohli
Senior Product Manager
at o9 Solutions, Inc.
Debojyoti Singha
Founder
at Keplars
Neeraj Chaturvedi
Co-Founder
at OneIoT
Debjani Ghosh
Distinguished Fellow
at NITI Aayog
Arti Garg
EVP, Chief Technologist
at AVEVA
Sanku Saiteja
Associate Software Engineer
at Accenture in India
Shruti Bendre
Talent Acquisition Lead
at Capgemini
Vansh B.
President
at The Consulting Club, Dyal Singh College
Albrey Brown
Founding Sales
at Central
Piyush Kukreja
Financial Advisor
at Kukreja Finance Solutions
Basang M.
Founder & CEO
at Nova Module
Pranav Baradkar
Senior Software Engineer
at Optym
Varinder Singh
Software Developer Engineer @Samsung Electronics
at Samsung R&D Institute India - Bangalore
Syed Shamsher Ali Hussain
Member of Technical Staff
at FluidCloud
Shahar Azulay
Co-Founder and CEO
at groundcover
Gregory Mermoud
Associate Professor
at HES-SO Valais-Wallis
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Get Started FreeWhat Do Data Engineers Do?
Data engineers design, build, and maintain the data infrastructure that enables organizations to collect, store, transform, and analyze data at scale. They create ETL/ELT pipelines, data warehouses, data lakes, and streaming architectures that make data accessible and reliable for analysts, data scientists, and business stakeholders. Data engineers work with tools like Apache Spark, Airflow, Kafka, dbt, Snowflake, and BigQuery. They ensure data quality, implement data governance practices, and optimize query performance across large datasets. Companies hire data engineers as the foundation of their data strategy, building the infrastructure that powers dashboards, machine learning models, and data-driven decision making. Without strong data engineering, organizations cannot effectively leverage their data assets.
What to Look For
- Experience building ETL/ELT pipelines using tools like Airflow, dbt, or Spark
- Proficient with SQL and can optimize complex queries across large datasets
- Familiar with data warehouse design (star schema, slowly changing dimensions)
- Has worked with both batch and streaming data processing architectures
- Understands data quality testing, validation, and monitoring
- Experience with cloud data platforms (Snowflake, BigQuery, Redshift)
Red Flags to Watch
- Cannot write complex SQL joins or window functions
- No experience with data pipeline orchestration tools
- Unfamiliar with data modeling concepts or warehouse design patterns
- Has never dealt with data quality issues or implemented validation checks
- Cannot discuss the differences between batch and streaming processing
- No understanding of data governance or documentation practices
What Hiring Managers Say
“We needed data engineers who could rebuild our pipeline to handle 100M+ events daily. Stackforce matched us with engineers experienced in Kafka and Spark. Our new data infrastructure processes events in near real-time.”
George L.
Head of Data Platform, AdTech Company
“Finding data engineers with dbt and Snowflake experience was critical for our modern data stack. Stackforce's talent pool had pre-verified profiles that matched our exact tech requirements. Outstanding quality.”
Ananya B.
VP of Analytics, Retail Analytics
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Frequently Asked Questions
How many data engineers does Stackforce have?
Stackforce currently has 209.8k+ verified data engineer profiles. The pool is continuously growing as new professionals join the platform.
What are the top skills of data engineers?
The most common skills among data engineers include Data Science, Leadership, Software Development, Product Management, Strategy, Go-to-Market Strategy. Stackforce AI automatically identifies and verifies these skills from professional profiles.
How do I hire a data engineer through Stackforce?
Sign up for a free Stackforce account, browse data engineers profiles, and use AI-powered matching to find the perfect candidate. You can reach out directly through the platform with verified contact information.
Is it free to browse data engineer profiles on Stackforce?
Yes, you can browse profile summaries for free. Sign up for full access to contact information, detailed experience, and AI-powered talent recommendations.