Hire Data Engineers
Hire senior data engineers who build production-ready data pipelines, ETL processes, and data infrastructure with Apache Spark, Airflow, and cloud platforms. They seamlessly integrate with your team or work in managed Pods—building scalable data solutions that drive insights.
Hire Experts, Who Ship, Not Just Code
Get dedicated data engineers with proven expertise in building modern, scalable data infrastructure
Hire skilled data engineers from Zeksta to build powerful data pipelines and infrastructure. Our data engineers are experts in ETL/ELT processes, Apache Spark, Airflow, dbt, Snowflake, BigQuery, and the entire data engineering ecosystem. They follow best practices, write clean code, and deliver high-performance data solutions that meet your business objectives. Whether you need ETL specialists, big data engineers, cloud data engineers, or data pipeline architects, we have the right talent for your project.
Who you can hire from Zeksta
Data Engineering Experts
ETL Specialists
Big Data Engineers
Data Pipeline Architects
Cloud Data Engineers
Data Consultants
Why hire data engineers from Zeksta
Pre-Vetted Specialists
Only 2% of applicants pass our rigorous screening process. We conduct live coding sessions, data pipeline design challenges, ETL optimization exercises, and communication assessments to ensure you get only the best data engineers.
Modern Data Engineering Expertise
Not just data basics. Our engineers are experts in data pipelines, ETL/ELT processes, big data technologies, cloud data platforms, and data infrastructure. They stay ahead of the curve with the latest data engineering innovations.
Fast Onboarding
Start interviewing candidates within days, not weeks. Our pre-vetted talent pool means you skip months of recruitment hassles and get productive data engineers on your team faster.
Risk-Free Trial
Every hire comes with a 2-week trial period. If it's not working out, we replace the engineer at no extra cost. Your satisfaction is our guarantee—we're committed to finding the perfect fit for your team.
AI-Native Engineers
Our engineers use AI tools daily (Cursor, GitHub Copilot) to accelerate development. They understand how to leverage AI for data engineering tasks while maintaining code quality and best practices.
Outcome-Oriented
Not just data processors—engineers who build scalable data infrastructure, optimize pipelines, ensure data quality, and genuinely care about delivering data solutions that drive business insights.
Our Data Engineering Tech Stack
Our data engineers are proficient in the latest data tools, frameworks, and best practices to deliver exceptional data infrastructure and pipelines.
Data Processing
- •ETL/ELT Pipelines
- •Batch Processing
- •Real-time Streaming
- •Data Transformation
- •Data Quality & Validation
Big Data Technologies
- •Apache Spark
- •Apache Kafka
- •Hadoop Ecosystem
- •Flink & Storm
- •Data Lakes
Data Orchestration
- •Apache Airflow
- •dbt (Data Build Tool)
- •Prefect
- •Luigi
- •Workflow Management
Data Warehouses & Platforms
- •Snowflake
- •BigQuery
- •Redshift
- •Databricks
- •Data Warehouse Design
Cloud Platforms
- •AWS (Glue, EMR, Athena)
- •Google Cloud (Dataflow, BigQuery)
- •Azure (Data Factory, Synapse)
- •Cloud Data Architecture
- •Serverless Data Processing
Programming & Tools
- •Python & SQL
- •Pandas & PySpark
- •Docker & Kubernetes
- •CI/CD for Data
- •Data Monitoring & Observability
How to Hire Data Engineers
Hire Data Engineers in Weeks, Not Months. Our streamlined hiring process gets pre-vetted data engineers on your team fast. Skip the lengthy recruitment cycles.
Share Your Requirements
Tell us about your data project, data sources, processing needs (batch/real-time), cloud platform preferences, and the experience level you need. We'll help you define the right data engineer profile.
Get Matched Profiles
We present 2-3 pre-vetted data engineers who match your requirements. Review their experience, portfolio projects, and our assessment notes.
Interview & Select
Interview candidates directly with technical questions relevant to your data stack. We can facilitate or let you run it entirely. You decide.
Risk-Free Trial
Start with a 2-week trial. The engineer joins your team, attends standups, and delivers real work. If not a fit, we replace at no cost.
Scale as Needed
Add more data engineers or transition to a full data team with data scientists, ML engineers, and analytics engineers. We scale with your needs.
Working with Zeksta
| Zeksta | Hiring In-house | Virtual Platform | |
|---|---|---|---|
| Time to build a Team | 0-2 weeks | 3-6 months | 2-6 months |
| Cost of Recruiting | None | Very High | None |
| Guarantee of Success | |||
| Pre-Screened Talent | |||
| Termination Cost | None | Very high | None |
| Overall Cost Effectiveness | Very High | Low | Medium |
Time to build a Team
Cost of Recruiting
Guarantee of Success
Pre-Screened Talent
Termination Cost
Overall Cost Effectiveness
Ready to Hire Data Engineers?
Tell us about your data engineering project and requirements. We'll present pre-vetted candidates within days, and you can start with a risk-free trial.
Frequently AskedQuestions
We are trying to resolve your doubts before commencing with us. If you are still left with doubts, feel free to contact us.
Our data engineers have extensive experience working with data pipelines, ETL/ELT processes, big data technologies, cloud data platforms, and data infrastructure. They have worked on projects ranging from small data pipelines to large-scale enterprise data systems. You can review their portfolios and conduct interviews to ensure they meet your specific requirements.
Yes! We have data engineers who specialize in batch processing, real-time streaming, ETL/ELT pipelines, data warehousing, and data lake architectures. Our engineers are experienced in various data processing patterns and can work on diverse project types.
Our data engineers are proficient in Python, SQL, Apache Spark, Airflow, dbt, Snowflake, BigQuery, Redshift, Databricks, Kafka, and modern data tools. They also work with cloud platforms (AWS, GCP, Azure), data warehouses, and data orchestration tools.
We maintain high code quality through code reviews, best practices compliance, comprehensive testing, data quality checks, and following data engineering best practices. Our engineers write clean, maintainable, and well-documented code optimized for performance and scalability.
Absolutely! You can start with one or two data engineers and scale up as your project grows. We can quickly onboard additional data engineers to your team, ensuring seamless collaboration and maintaining project momentum.
We offer flexible engagement models including full-time dedicated data engineers, part-time engineers, or project-based contracts. You can choose the model that best fits your project timeline and budget requirements.
Yes, we can align our data engineers' working hours with your time zone to ensure seamless communication and collaboration. We have engineers across different time zones to provide round-the-clock coverage if needed.
Still have questions?
Contact Us