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We are looking for a mid-level Data Engineer who thrives on solving hard problems with Matplotlib and MLflow. Backed by 3 years of technology experience, you'll own key initiatives, partner closely with the team, and earn $124,000 - $175,000.
Key Responsibilities
- Evaluate and recommend new tools, frameworks, and LightGBM libraries
- Question the craft-obsessed MLflow pattern everyone copied and propose something cleaner
- Backfill LightGBM test coverage on the riskiest corners of Nestle's codebase
- Replace the brittle MLflow hack with a Presentation Skills solution that survives New York scale
- Identify bottlenecks and propose architectural improvements proactively
- Translate Kafka metrics into the one chart Nestle leadership checks each morning
What You'll Bring
- Comfortable owning projects from concept through delivery
- Hands-on command of TensorFlow, with Kafka as a close second
- The grit to debug at 4pm on a Friday without complaint
- Real proficiency with LightGBM, plus willingness to learn Matplotlib fast
- Solid understanding of technology best practices and industry standards
- At least 3 years building expertise within the technology space
- Strong working knowledge of TensorFlow and Matplotlib
Out of a converted warehouse in New York, Nestle has quietly grown into a feedback-driven force shaping how technology gets done. Accountability here is shared, so wins belong to the team and setbacks become lessons.
Salaries here begin at $124,000 - $175,000, complemented by stock options, learning budgets, and weekly one-on-one coaching.
The freshness clock just ticked over, and this Data Engineer slot stays open.
Apply now and a real person from Nestle will get back to you, not an autoresponder.