Senior Data Engineer (Azure)

TL;DR

Senior Data Engineer (Azure): Building and operating governed data foundations and AI-ready data assets for North American operations with an accent on pipeline scalability, data quality, and semantic modeling. Focus on designing production-ready ETL/ELT workflows using Python, PySpark, and Microsoft Fabric to support operational intelligence and AI-enabled solutions.

Location: Must be based in or able to commute to Denver, CO (3 days on-site required)

Salary: $130,000–$155,000

Company

hirify.global provides critical infrastructure and connectivity solutions for hyperscalers and large enterprises across North America, EMEA, and Asia Pacific.

What you will do

• Design, build, and maintain scalable data pipelines using Python and PySpark on the Azure platform.
• Develop curated lakehouse datasets and semantic models to support operational reporting and AI-enabled consumption.
• Implement SQL-based transformations to ensure data reliability and trust for downstream analytics.
• Collaborate with IT Global, business SMEs, and data stewards to align data products with enterprise governance standards.
• Monitor, troubleshoot, and optimize pipeline performance to ensure high availability and data quality.
• Document business rules, source lineage, and data dictionaries to prepare structured data for AI agents.

Requirements

• Must be based in or able to commute to Denver, CO for a hybrid work schedule (3 days on-site).
• Bachelor’s degree in Engineering, Computer Science, or related field.
• 5–8 years of experience in data engineering or analytics engineering.
• Proficiency in Python, PySpark, and SQL for data transformation and pipeline automation.
• Strong experience with Azure data services including Azure Data Factory, Synapse, and Data Lake Storage Gen2.
• Solid understanding of ETL/ELT patterns, data modeling, and CI/CD workflows using GitHub or Azure DevOps.

Nice to have

• Experience with Microsoft Fabric and Lakehouse architecture patterns.
• Familiarity with AI-enabled use cases, ontology/taxonomy alignment, and explainable AI outputs.
• Knowledge of data observability, metadata management, and data contracts.
• Experience with Azure Functions or Logic Apps for workflow support.

Culture & Benefits

• Comprehensive health, dental, and vision insurance coverage.
• 401(k) retirement program with company match.
• Paid time off and disability coverage.
• Supportive team culture emphasizing no ego and collaborative growth.
• Opportunities for professional training and development.