Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since public launch, Emergent has crossed $100M in ARR and grown to over 10M users across 190+ countries. We're backed by Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

What You'll Do:
Design, build, and maintain robust, scalable data pipelines and infrastructure
Develop ETL/ELT processes to collect, process, and curate structured and unstructured data from various sources
Collaborate with data scientists, analysts,



and product teams to understand data needs and ensure data reliability and accessibility
Optimize data systems for performance, cost-efficiency, and scalability
Ensure data quality, security, and compliance best practices are followed
Implement and maintain data models, data lakes, warehouses (e.g., Redshift, BigQuery, Snowflake), and real-time streaming platforms (e.g., Kafka, Spark)
Document systems and contribute to internal data engineering standards and playbooks

What We're Looking For:
3+ years of experience in a data engineering or similar backend role
Proficiency in Python, SQL, and one or more data orchestration tools (e.g., Airflow, Dagster, Prefect)
Hands-on experience with cloud data platforms (AWS, GCP, or Azure)
Familiarity with data modeling, warehousing concepts, and distributed systems
Robust understanding of data governance, privacy, and security principles
Experie

📌 Data Engineer Bengaluru
🏢 Emergent Labs
📍 Bengaluru