Data Engineer

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.

div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8">

_*]:min-w-0 gap-3 standard-markdown"> 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

Strong understanding of data governance, privacy, and security principles

Experience with tools like dbt, Kafka, Spark, or similar technologies is a plus

Bonus: background in ML pipelines, MLOps, or DevOps practices

Why Join Us: This isn't a traditional analyst position. You'll be pioneering analytics in the emerging field of agentic AI, where your work directly shapes how we understand and optimize AI agent performance. You'll have the opportunity to:

Be among the first analysts to define metrics and frameworks for agentic AI systems

Work with cutting-edge technology while solving novel analytical challenges

Have direct impact on product decisions with your insights driving feature development

Shape the future of how businesses measure and optimize AI agent effectiveness

Benefits and Perks:

Daily Meals: Lunch and Dinner provided

Family Insurance: 3 Lakhs worth of coverage for you and your family

Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed

Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.