What You'll Do

• Build and ship data pipelines that run live in production, from ingestion to storage, across near-real-time and batch workloads.
• Build Python services and APIs that other teams and products rely on.
• Work with operational databases and learn to run them under real production load: schema design, reliability, and performance.
• Build tests, monitoring, and data quality checks that catch problems before a stakeholder has to tell you.
• Help keep a warehouse of hundreds of terabytes fast, reliable, and cost-efficient.
• Own undefined data problems from first idea to production. No playbook. You own it all.

What You'll Bring

• Strong Python and SQL. You use AI tools to move faster, and you still verify the output.
• Proof of depth as an engineer: a degree in computer science or a related field, internships, open-source work, a thesis, or a system you built yourself and kept running.
• Hands-on experience with a database beyond the basics (PostgreSQL, MongoDB, or similar). You understand schemas, indexes, and what breaks under load.
• You get going on a vague problem without waiting for a spec, and you take it further than you were asked.
• You think about reliability. You debug rigorously when things break, and you want to know why before you fix it.
• Bonus: Kafka or Pub/Sub, dbt, Docker, Terraform, competition results, or a project you built and hardened yourself.