MLOps / Data Engineer (Fully Remote)

Partner Company; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Partner Company in the United States is seeking a data-focused professional to optimize Spark and Databricks workloads, productionize ML models, and monitor performance in a remote-friendly setting. You will bring experience in Data Engineering or MLOps, strong Python and Spark skills, and familiarity with Databricks and Kubernetes.

The culture is remote-first, collaborative, inclusive, and focused on professional growth.

Qualifications

• Experience in Data Engineering or MLOps.
• Strong Python and Spark skills.
• Databricks and Kubernetes expertise.

Responsibilities

• Optimize Spark and Databricks workloads.
• Productionize ML models and monitor performance.

Skills

Python

Spark

Databricks

Kubernetes

Data Engineering

MLOps

Tools

Databricks

Kubernetes

Job description

• Optimize Spark and Databricks workloads.
• Productionize ML models and monitor performance.

Requirements:

• Experience in Data Engineering or MLOps.
• Strong Python and Spark skills.
• Databricks and Kubernetes expertise.

Culture:

• Remote-first and collaborative.
• Inclusive with professional growth.

Partner Company

This company powers the global digital audio advertising ecosystem, turning large-scale listener data into actionable insights for advertisers. It operates in a technically advanced, cross-functional environment with a culture centered on respect, equity, and professional development.