Lightning AI

Data Engineer

New York, New York, United States

Sponsorship not specified$188k-$275kDetected 16 days ago

PythonFull-Stack DevelopmentSQLMachine LearningPyTorchdbtData EngineeringData ScienceA/B TestingResearchLeadershipCommunication

About the role

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute.
We serve solo researchers, startups, and large enterprises.

Design and own ETL/ELT pipelines that move GPU telemetry, product usage, operational data, and customer data from where it lives to where it's useful
Build and maintain the clean, documented tables that analysts and data scientists actually work from - not raw dumps
Own data quality end-to-end: schema management, freshness monitoring, lineage tracking, and alerting when something breaks
Partner with engineering and GTM teams to instrument what isn't already tracked
Proven track record of building and leading high-performing teams
Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
We own outcomes, not just our individual work.
We lead by example, empower others, and create healthy teams where people can do their best work.
We design for what's next.
We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.

10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
Strong technical foundation with expertise in SQL, Python, and modern data stack tools (dbt, SQLMesh, etc)
Demonstrated ability to balance strategic thinking with hands-on technical leadership
Strong communication skills with the ability to translate complex technical concepts for diverse audiences
Experience scaling analytics functions from early stage to maturity in rapidly changing environments
Track record of establishing data governance, quality standards, and best practices

Lightning AI is the company behind PyTorch Lightning.
Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
Who We look for

We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:
Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
Benefits may vary by location, team, and role.

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
clean tables, documented lineage, and signal flowing to where it's needed.
You drive projects from conception to production without waiting to be told what to do next.
Two weeks of company closure each winter to disconnect and recharge.
Work closely with product, infra, and ML teams, primarily unblocking them
What You'll Need

This listing is sourced directly from Lightning AI's careers page and normalized into a canonical job model.