Mid-level Data Engineer, Global

Vantage Data Centers

Denver, Colorado, US
Base: $100,000-$110,000; bonus: eligible for bonus...
Python and pyspark proficiency
Azure data factory pipeline development
Sql and spark transformation skills
This role involves building production-ready data solutions that support enterprise reporting, analytics, and emerging AI-enabled use cases within a fast-paced environment

Job Summary

  • This role involves building production-ready data solutions that support enterprise reporting, analytics, and emerging AI-enabled use cases within a fast-paced environment.
  • The position requires independent ownership of data pipelines, including monitoring, troubleshooting, and performance optimization on the Microsoft Azure platform.
  • Vantage Data Centers offers a comprehensive benefits package including medical, dental, vision, 401k matching, and an above-market total compensation structure.

Matching Summary

This role involves building production-ready data solutions that support enterprise reporting, analytics, and emerging AI-enabled use cases within a fast-paced environment.

Salary

Base: $100,000-$110,000; Bonus: Eligible for bonus; Benefits: Medical, dental, vision, life insurance, 401k match

Skills & Requirements

Must-have

  • Python and PySpark proficiency
  • Azure Data Factory pipeline development
  • SQL and Spark transformation skills
  • Azure Synapse and Data Lake Gen2 experience
  • Git version control and CI/CD workflows

Nice-to-have

  • Experience with distributed data processing frameworks
  • Familiarity with AI-adjacent data use cases
  • Knowledge of Azure Functions or Logic Apps
  • Background in data platform modernization
  • Ability to thrive in fast-paced scaling environments

Key Requirements

  • Bachelor's degree in Engineering, Computer Science, or related field
  • 3–5 years of experience in data engineering
  • Must be willing to work on-site 3 days per week in Denver, CO

Work Rights

Not specified

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