🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines and ML systems on Google Cloud Platform for a remote-first company. Your work will power advanced analytics and ML models that handle large-scale data. You'll collaborate closely with data scientists and engineers to ship production-ready solutions.

🎯 What You'll Do

• Design and maintain scalable data pipelines using Python and Spark/Dask.
• Own and improve ML system components for reliability and scalability.
• Implement MLOps practices including CI/CD and model monitoring.
• Optimize data processing jobs on GCP (Dataproc, BigQuery, Cloud Run).

📋 Requirements

• 3-5+ years in data engineering or ML engineering with Python.
• Strong experience with Apache Spark or Dask for large-scale data.
• Solid experience with Google Cloud Platform (Dataproc, BigQuery).
• Expert SQL skills and deep understanding of ML lifecycle.

✨ Nice to Have

• Subscription Economy experience in media/entertainment.
• Deep knowledge of GCP services like Dataflow, Composer, Vertex AI.
• Contributions to open-source Python projects.

🎁 Benefits & Perks

• 🏖️ Remote-first culture
• 🕒 Flexible hours within US time zones
• 🧑‍🤝‍🧑 Collaborative team environment
• 📈 Growth and development opportunities
• 💻 Work with cutting-edge tech stack

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min