Azure Data Engineer, Pipelines & AI Enablement

Vantage Data Centers Management Company LLC

United States

On-site

USD 100,000 - 130,000

Full time

9 days ago

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Job summary

Vantage Data Centers in Denver, CO, is hiring a Mid-Level Data Engineer to build, operate, and scale our enterprise data platform. You will own data pipelines, work with PySpark, SQL, and Azure services, delivering production-ready solutions for analytics and AI‑enabled use cases.

You’ll collaborate with senior engineers and business partners while maintaining independence and accountability in a fast-paced environment. On-site 3 days per week with 2 days flexible.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Data Analytics, or related field, or equivalent experience.
  • 3–5 years of experience in data engineering or analytics engineering.
  • Proficiency in Python, PySpark, and SQL for building data pipelines and transformations.
  • Experience with ETL/ELT patterns and data integration concepts.
  • Experience on Microsoft Azure including Databricks, Data Lake Gen2, and related services.
  • Experience using GitHub or Azure DevOps for CI/CD and version control.
  • Able to collaborate with business analysts and stakeholders in a fast-paced environment.
  • Strong communication, planning, and agile development experience.

Responsibilities

  • Design, build, and maintain reliable, scalable data pipelines using Python and PySpark on Azure.
  • Develop and operate batch and incremental pipelines with Azure Data Factory and store in Data Lake Gen2.
  • Implement SQL- and Spark-based transformations to produce curated datasets for analytics and reporting.
  • Own assigned pipelines: monitor, troubleshoot, and optimize performance in production.
  • Work with Azure services to support analytical workloads and data consumption patterns.
  • Collaborate with analysts to translate data requirements into working solutions.
  • Prepare data for advanced analytics and AI use cases with quality and documentation.
  • Follow data governance and security standards and participate in code reviews.

Skills

Python
PySpark
SQL
ETL/ELT
Azure Databricks
Azure Data Factory
Azure Data Lake Gen2
Azure Synapse
GitHub/Azure DevOps
Data Modeling
Agile / Jira
Communication

Education

Bachelor’s degree in Engineering, Computer Science, Data Analytics, or related field

Tools

Azure Data Factory
Azure Synapse
Databricks
Microsoft Azure
Spark

Job description

Vantage Data Centers in Denver, CO, is hiring a Mid-Level Data Engineer to build, operate, and scale our enterprise data platform. You will own data pipelines, work with PySpark, SQL, and Azure services, delivering production-ready solutions for analytics and AI‑enabled use cases.

You’ll collaborate with senior engineers and business partners while maintaining independence and accountability in a fast-paced environment. On-site 3 days per week with 2 days flexible.

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