At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades. We are backed by Y Combinator, Accel and Menlo Ventures.

Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for consumer finance. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.

With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we’ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build Agentic AI applications that will revolutionize the future of consumer finance.

At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all.

About the role -

We are looking for a passionate and driven Data Engineer to join our team. You will be instrumental in building scalable data pipelines, generating powerful insights, and supporting our AI/ML initiatives. If you enjoy working across data engineering and analytics and want to help shape the future of Agentic AI, we'd love to hear from you!

🏆 Responsibilities

Design, build, and manage robust data pipelines for collecting, transforming, and modeling data effectively within our Databricks data lake.
Turn raw data into clean, reliable, and tested assets using SQL and modern transformation tools like dbt.
Collaborate closely with cross-functional teams to deliver actionable insights that drive strategic products, AI, and business decisions.
Contribute to AI research initiatives by validating model performance and supporting data needs for machine learning projects.
Identify and address performance bottlenecks in data processing, analytics, and reporting.

✅ Requirements

B.E/B.Tech/M.Tech from Tier 1 or Tier 2 engineering colleges
1 year of professional experience in data engineering
Working with data querying and scripting languages (e.g., SQL, NoSQL, Python/R),
Experience building and maintaining data pipeline processes using tools like Airflow, SQL tasks, and stored procedures.
Working knowledge of data visualization tools like Tableau, Hex, or Power BI.
Experience working with AWS services such as Lambda, S3, Cloudfront, SQS and more
Good problem solving, critical thinking, and communication skills. Should be able to find the right balance between perfection and speed of execution
Self-starter and self-learner, who is comfortable working in a fast paced environment while continuously evaluating emerging technologies
Bonus: Foundational knowledge in fundamentals of Machine Learning and Artificial Intelligence

Mode of Work - Office (Powai, Mumbai)

⚙️ Our Tech Stack

Products built using Python, Node.js, React.js, Devin, Cursor
Databases such as MongoDB, PostgreSQL, Redis, Databricks
Deployments on EKS, EC2, Lambda and other AWS services

🎁 What we offer

Job Benefits

GenAI experience – Work directly in the innovative field of Agentic AI/ GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of Tower Research, BCG, Meta, Blackstone, Amazon Deloitte, EY and are IIT, IIM, BITS alumnus.
Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani).

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.

To learn more about us - please visit the following:

Our Story - https://www.prodigaltech.com/our-story

What shapes our thinking - https://link.prodigaltech.com/our-thesis

Our website - https://www.prodigaltech.com/