Azure Data Engineer: ML Ops & Spark Architect

Expedite Talent Solutions; Redmond (WA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Expedite Talent Solutions is seeking an Azure Data Engineer to support end-to-end ML lifecycle in production. The role focuses on deploying ML models, versioning, monitoring, and building automated pipelines in Azure Databricks and Azure ML.

You will work in a hybrid setup, engaging with stakeholders, leading a team, and handling production support tasks. Requires >10 years of relevant experience and strong Azure/Databricks skills.

Qualifications

• 10+ years of experience in data engineering or similar roles.
• Strong experience with ML lifecycle, deployment, monitoring and CI/CD.
• Experience in Azure ML and Databricks environments.

Responsibilities

• Client interfacing to gather requirements and provide updates.
• Team leading and coordination across data engineering tasks.
• Handle support tasks and production runbooks.

Skills

Spark

AI MLOps

ADF

ADB

Tools

Azure Databricks

Job description

Expedite Talent Solutions is seeking an Azure Data Engineer to support end-to-end ML lifecycle in production. The role focuses on deploying ML models, versioning, monitoring, and building automated pipelines in Azure Databricks and Azure ML.

You will work in a hybrid setup, engaging with stakeholders, leading a team, and handling production support tasks. Requires >10 years of relevant experience and strong Azure/Databricks skills.