Sr Data Engineer, Data Analytics & Intelligence, NA (Azure)

Location: Denver, Colorado; hybrid schedule with 3 days onsite and 2 flexible days required. Travel of up to 10% is expected.

Salary: $130,000–$155,000 per year, based on Colorado market data.

Company

hirify.global develops and operates data centers that support hyperscalers, cloud providers, and large enterprises across North America, EMEA, and Asia Pacific.

What you will do

• Design, build, operate, and maintain scalable batch and incremental data pipelines using Python, PySpark, Azure Data Factory, and Azure Data Lake Storage Gen2.
• Develop curated lakehouse and gold-layer datasets, SQL views, tables, and semantic-model inputs for reporting, analytics, operational intelligence, and AI-enabled consumption.
• Prepare operational data for Fabric Data Agent and other AI use cases by documenting business rules, lineage, grain, reliability constraints, and data definitions.
• Monitor and troubleshoot production pipelines, investigate data-quality issues, perform root-cause analysis, and optimize Spark jobs and SQL workloads.
• Support observability, logging, auditability, governance, security, access control, and data classification standards.
• Collaborate with business analysts, operations SMEs, data stewards, IT Global, and platform teams; participate in code reviews, sprint planning, and CI/CD practices.

Requirements

• Bachelor’s degree in engineering, computer science, data analytics, or a related field, or equivalent experience.
• 5–8 years of experience in data engineering, analytics engineering, or a related technical data role.
• Proficiency in Python, PySpark, SQL, ETL/ELT, incremental processing, data integration, and production support.
• Experience with Azure Data Factory, Azure Synapse, Azure Data Lake Storage Gen2, Microsoft Fabric or Lakehouse patterns, and related Azure analytics services.
• Knowledge of data modeling, semantic models, metadata, lineage, data quality, access control, source control, and CI/CD workflows using GitHub or Azure DevOps.
• Strong collaboration and communication skills, plus experience working in Agile environments with tools such as Jira.

Nice to have

• Experience with Apache Spark, Fabric Lakehouse, Fabric/Data Agent patterns, ontology or taxonomy alignment, and explainable AI outputs.
• Familiarity with data observability, metadata management, data contracts, reliability indicators, Azure Functions, or Logic Apps.
• Experience with data platform modernization, reusable architecture, and structured or unstructured operational data sources.

Culture & Benefits

• Flexible hybrid work policy with a collaborative, no-ego environment.
• Medical, dental, vision, life, disability, paid time off, employee assistance, and retirement benefits.
• 401(k) program with company match and additional voluntary benefits.
• Training, development, recognition, and above-market total compensation opportunities.