Join a cutting-edge company backed by investors like Y Combinator, working to revolutionize the grocery industry using predictive machine learning to reduce food waste. Based in NYC, this mission-driven team collaborates with leading supermarket chains to solve sustainability and food security challenges. Work alongside experts from Palantir, BCG, MIT, and more in a culture of innovation and impact.
Your Role
As a Data Engineer, you'll contribute to building scalable data systems and optimizing machine learning models for grocery demand forecasting. This role combines technical innovation with customer-facing collaboration, helping create a sustainable future while shaping the company's technical direction.
Responsibilities
- Data Pipelines: Design and implement scalable systems to process diverse, large-scale datasets for multiple clients.
- Python Expertise: Develop and maintain data infrastructure using Python, Pandas, and tools like Airflow or Dagster.
- Machine Learning: Collaborate to enhance predictive systems for real-world applications.
- Client Integration: Work with customer teams to ensure smooth data integrations and understand their business needs.
- Distributed Computing (Preferred): Experience with PySpark or Dask is a plus.
Why Join?
- Competitive Pay: Earn $150k-$200k plus equity options.
- Full Benefits: Employer-paid healthcare, including medical, dental, and vision.
- Flexibility: Unlimited vacation and an Equinox gym membership.
- Daily Perks: Free office meals (lunch and dinner).
- Career Growth: Shape the culture of an early-stage startup making a global impact.
If you're a skilled data engineer passionate about tackling global challenges, this role offers the chance to innovate and make a difference. Apply today to join this transformative team!
