AI-Powered DataOps Engineer | Remote | Azure & Databricks

Greystar; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive benefits including medical, dental, and vision

Generous Paid Time Off

401(k) with Company Match

Job summary

Greystar is looking for a DataOps Engineer to join the Data Marketplace team. This role involves engineering responsibilities centered around a Databricks-native architecture on Microsoft Azure, ensuring the reliability and scalability of data platforms.

The ideal candidate will have extensive experience with Databricks and Azure, utilizing AI in operational practices to enhance data infrastructure. Competitive compensation and flexible work arrangements are offered.

Qualifications

• 7+ years of DataOps, data engineering, or platform engineering experience.
• Expert-level hands-on experience with Databricks and Azure data services.
• Strong command of Python or Scala for pipeline development.

Responsibilities

• Implement AI-powered observability for data pipelines.
• Own the full deployment lifecycle with CI/CD workflows.
• Collaborate with stakeholders to align pipeline design with business needs.

Skills

Databricks

Azure services

CI/CD

Python

AI tools

Tools

GitHub Enterprise

ADF

SQL

Job description

Greystar is looking for a DataOps Engineer to join the Data Marketplace team. This role involves engineering responsibilities centered around a Databricks-native architecture on Microsoft Azure, ensuring the reliability and scalability of data platforms.

The ideal candidate will have extensive experience with Databricks and Azure, utilizing AI in operational practices to enhance data infrastructure. Competitive compensation and flexible work arrangements are offered.