Data Engineer Intern

TensorStax is building the next generation of autonomous agents for data engineering. Backed by a $5M seed round.

The Role

As Data Engineer you will design, build, and optimize production-grade pipelines that our agents learn from and eventually operate. You will own the modeling layer in dbt, the orchestration layer in Airflow, and the heavy-lift workloads in Spark.

What You’ll Do

• Model complex, interdependent schemas in dbt across hundreds of tables
• Build advanced, multi-branch Airflow DAGs with sophisticated dependency and failure handling
• Author high-performance Spark jobs (PySpark or Scala) for large-scale batch and incremental workloads
• Codify lineage, testing, and metadata so agents can reason about pipeline state
• Profile and tune query performance across warehouses and lakehouse engines
• Partner with the agent research team to expose realistic failure modes, data drifts, and SLA violations for RL training
• Containerize and deploy everything on Kubernetes-backed infra

About You

Why TensorStax