Data Engineer

TensorStax; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

TensorStax is seeking a Data Engineer to design and optimize data pipelines for autonomous agents. This mid-senior level role involves complex modeling in dbt, managing workflows in Airflow, and using Spark for large-scale data processing. The position offers competitive salary, equity, and is remote-first.

Benefits

Competitive salary

Meaningful equity

Hardware budget

Remote-first approach

Qualifications

• 4+ years in data engineering or analytics engineering, shipping pipelines at scale.
• Deep experience with dbt, including macros, custom tests, and refactoring legacy models.
• Strong background building complex Airflow DAGs.

Responsibilities

• Design, build, and optimize production-grade pipelines.
• Model complex schemas in dbt and author high-performance Spark jobs.
• Build advanced Airflow DAGs with sophisticated dependency management.

Skills

dbt

Airflow

Spark

Python

Git

Education

4+ years in data engineering or analytics engineering

Job description

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

• 4+ years in data engineering or analytics engineering, shipping pipelines at scale
• Deep experience with dbt, including macros, custom tests, and refactoring legacy models
• Track record building and debugging complex Airflow DAGs (Sensors, TaskGroups, SubDAG patterns)
• Spark power-user capable of distributed joins, window functions, and memory tuning
• Solid Python, Git, and CI discipline
• Bonus: experience with Iceberg, Delta, or DataFusion; prior RL or agent work

Why TensorStax

• Write the pipelines our autonomous agents learn to operate
• Work in a tight, senior team that values clean code and measurable impact
• Competitive salary, meaningful equity, and hardware budget
• Remote-first with optional SF office

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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