Senior Data Engineer
Experience: 5+ years
Location: Bangalore / Chandigarh (Hybrid). Remote possible for the right person.
Type: Full time
Reports to: Chief Architect

About us
We are building an AI-native GTM intelligence platform for enterprise revenue teams. Our data is the product. We hold 45M+ companies and hundreds of millions of contacts, built from many vendor feeds and served into search and AI features.
Data quality is our highest priority. Every AI feature we ship is only as good as the data underneath it. So the data engineer is a central role here, not a supporting one.

The role

We are looking for a strong data engineer who can do two things well.
First, the traditional craft. Build reliable pipelines that keep large-scale data correct and fresh. This is a must. Everything else sits on top of it.

Second, the new craft. Use AI to process and clean data at a scale and quality that rules and scripts alone cannot reach.
You will own data as a product, from raw vendor feeds to the clean records the whole platform runs on.
What you’ll own
• Data as a product.



Own the quality, freshness, and correctness of the data you ship. Treat the teams and features that consume it as your customers. Care that the data is right, not just that the job ran.
• Pipelines at scale. Build and run incremental pipelines that turn messy vendor feeds into clean, trustworthy, queryable data across hundreds of millions of records.
• AI for data processing. Use LLMs and smaller models to parse, classify, extract, and enrich data at scale, and do it cost-effectively.
• AI for data cleaning. Use AI to normalize, deduplicate, and resolve identity, and to catch bad data that rules miss. Match and merge the same company or person across many vendors into one record, and resolve conflicts between sources.
• Correctness you can prove. Build the checks, gates, and observability that catch bad data before it reaches a customer. Be able to show the data is right.
• An AI-native way of working

📌 Senior Data Engineer (India)
🏢 Sprouts.ai
📍 India