Data Engineer (Up to 80LPA)

Data Engineer (upto 80LPA)
This role is for one of our client companies — a VC-backed startup that has raised $7M USD in funding.
Salary: Upto 80 LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
🚀 What We’re Building
CodeRound AI matches the top 5% of tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.
Top-tier product startups across the US, UK, EU, UAE, and India have hired engineers through CodeRound.
🚀 Data Engineer (3+ Years of Experience)
As a Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure for AI-driven products. You’ll work closely with Backend, ML, and Product teams to ensure reliable data flow, high data quality, and efficient processing systems.
This role is ideal for engineers who enjoy working with large datasets, building robust data systems, and enabling data-driven decision-making.
🧩 What You’ll Do
📊 Data Engineering & Pipelines
Build and maintain scalable ETL/ELT pipelines using Python
Process and transform large datasets efficiently
Ensure data quality, reliability, and integrity across systems
Optimize data workflows for performance and scalability
🗄️ Database & Querying
Write efficient and complex SQL queries for data extraction and analysis
Design and manage data schemas, warehouses, and storage solutions
Work with relational and/or distributed data systems
⚙️ Systems & Integration
Collaborate with ML and Backend teams to support data needs
Build data infrastructure to support analytics and AI use cases
Integrate multiple data sources and APIs into unified pipelines
Work with modern data tools and cloud platforms
✅ You’re a Great Fit If You
Have 3+ years of experience as a Data Engineer or Software Engineer
Are highly proficient in Python (Rust is a plus)
Have strong SQL skills and experience working with large datasets
Understand data modeling, ETL processes, and data warehousing concepts
Have experience with cloud platforms (AWS/GCP/Azure) and data tools
Are comfortable working in fast-paced startup environments
Write clean, efficient, and maintainable code
Communicate clearly and take ownership of your work
✨ Why Join Us?
Work on data systems powering real-world AI applications
Collaborate with strong engineering and ML teams
High ownership and impact in a fast-growing startup
Opportunity to work with modern data stack and technologies
Clear growth path into Senior Data Engineer / Data Platform roles

Work arrangement
No