Mid-Level Data Engineer (Azure)

TL;DR

Mid-Level Data Engineer (Azure/PySpark): Building and scaling an enterprise data platform to support analytics, reporting, and AI-enabled use cases with an accent on reliable data pipelines and curated datasets. Focus on designing ETL/ELT workflows, optimizing Spark performance, and implementing scalable transformations on Microsoft Azure.

Location: Must be based in Denver, CO (Hybrid: 3 days on-site required)

Salary: $100,000–$115,000 + Bonus

Company

hirify.global Data Centers provides high-scale data center infrastructure, power, and connectivity for hyperscalers, cloud providers, and large enterprises globally.

What you will do

• Design, build, and maintain scalable data pipelines using Python and PySpark on the Microsoft Azure platform.
• Develop batch and incremental data pipelines leveraging Azure Data Factory and Azure Data Lake Storage Gen2.
• Implement SQL- and Spark-based transformations to produce curated datasets for enterprise reporting and analytics.
• Operate and optimize analytical workloads within Azure Synapse.
• Collaborate with business analysts to translate requirements into practical, production-ready data solutions.
• Structure and prepare data to support advanced analytics and AI-enabled use cases.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data Analytics, or equivalent experience.
• 3–5 years of experience in data engineering or analytics engineering.
• Proficiency in Python (including PySpark) and SQL for data processing and transformation.
• Hands-on experience with Azure Data Factory, Azure Synapse, and Azure Data Lake Storage Gen2.
• Solid understanding of ETL/ELT pipelines, data modeling (fact/dimension tables), and CI/CD workflows via GitHub or Azure DevOps.
• Must be based in or able to work on-site in Denver, CO (3 days per week).

Nice to have

• Experience with distributed data processing frameworks like Apache Spark.
• Exposure to preparing data for machine learning or AI applications.
• Familiarity with Azure Functions or Logic Apps for data workflows.
• Experience in scaling or fast-paced organizations with evolving priorities.

Culture & Benefits

• Competitive total compensation package with performance bonuses.
• Comprehensive health benefits including medical, dental, and vision coverage.
• 401k program with company match.
• Paid time off, short/long-term disability, and employee assistance programs.
• Professional environment based on a "No Ego and No Arrogance" culture, emphasizing mutual support and growth.