SECTION I · THE BRIEF
Brief #13723Updated 28 AUG 2026PUNEYc
Employbl Company Profile

Data Engineer (India)

Intelligence Factory is hiring a Data Engineer (India) in Pune. Full brief — comp band, funding history, and the stack behind it — available to Employbl members.

Location
Pune
Company size
—
Posted
1mo ago
Via
Yc
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Headcount & which departments are hiringLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked
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No card · 2 minutes · the funding and stack behind this role

Job listing · Updated 28 AUG 2026

Data Engineer (India)

Intelligence Factory· Pune, Maharashtra, INView company profile

Job title
Data Engineer (India)
Job location
Pune, Maharashtra, IN
Job listing URL
https://www.ycombinator.com/companies/intelligence-factory/jobs/X8JNksS-data-engineer-india
Job description
We're building foundational models for general purpose manipulation. Our data infrastructure allows us to generate rich, multi-modal human demonstration data at exponential scale. We are using this data to train general-purpose manipulation models that work reliably across tasks, objects, and robot embodiments. We are live in deployment across multiple verticals. As a data engineer, you'll architect the highest quality robotics dataset in the world - owning the pipelines that turn raw sensor data into the datasets our models train on. **What you'll do:** * Build pipelines that turn raw multi-modal sensor data into training-ready datasets * Build tooling for data exploration, filtering, versioning, and release management * Implement quality checks that catch bad data before training * Work in a tight feedback loop with the model team to improve data for training **You should have:** * Strong Python and experience building data pipelines at scale * Experience with multi-modal or time-series sensor data (video, IMU, force - any of these) * Experience with data validation at scale - anomaly detection, distribution checks, or debugging corrupted data * Proof of decision-making with incomplete information Our culture is built on honesty and willingness to fail fast. If you see yourself fitting here, please apply. **Comp:** * ₹15L-₹40L * Full-time, on-site in Pune
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