Hire Data Engineers
Browse 320.9k+ verified data engineer profiles on Stackforce
Amanda Wood
Product Operations & Product Analytics
at AlphaSense
Yarik Markov
Co-founder & CTO
at VOYGR (YC W26)
Enric Durany
Group Product Manager
at Google
Himanshu Dhiman
Software Automation Developer 2 - Front End
at Kinaxis
Rupali Rane
Manager - Talent Acquisition
at HDFC Bank
Pritish Mishra
Senior Software Engineer
at Xneeti OneOS
Shubham Aher
Lead Software Engineer
at Indexnine Technologies
Ravi K.
Associate Manager, Talent Acquistion
at Razorpay
Jancy Alice Challam
Human Resources Specialist
at GeoIQ
Monika Saroha
Human Resources Executive
at Finkhoz Roboadvisory
Sam K.
Director of Engineering
at MishiPay
Manvi Agarwal
Manager- Staffing
at Artech Information Systems
Aviral Bhargava
Assistant Vice President - Analytics
at EXL
Tejashree Salvi
Senior Software Developer
at BMW TechWorks India
Vidya Bhushan
Guest Speaker
at B School
Lovish Dua
Software Engineer II
at Adobe
Ujjwal Awasthi
Process Developer
at Genpact
Ankit Gupta
Manager
at Easebuzz
Rajan Yadav
Assistant Manager
at Deloitte
SMARIKA SHARMA
Silicon Design Engineer 2
at AMD
Access 320.9k+ data engineer profiles
Sign up free to see full profiles, verified contact info, and use AI-powered talent matching to find your perfect hire.
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
Related Searches
Frequently Asked Questions
How many data engineers does Stackforce have?
Stackforce currently has 320.9k+ 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 Recruiting, Business Development, Product Development, Product Strategy, Product Management, Talent Acquisition. 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.