Senior Data Engineer (Azure)

TL;DR

Senior Data Engineer (Azure): Designing and maintaining ETL pipelines and data models using Azure, Databricks, and PySpark with an accent on data quality, governance, and ML pipeline integration. Focus on optimizing data transformation, ensuring high performance, and collaborating with data scientists to support advanced analytics initiatives.

Location: Hybrid in Detroit, MI (Tuesday, Wednesday, Thursday required onsite)

Company

hirify.global is a staffing company looking for a Senior Data Engineer for a contract opportunity with one of their largest clients.

What you will do

• Design, develop, and maintain ETL pipelines using Azure Data Factory and Databricks.
• Implement data ingestion and transformation workflows with PySpark and Spark SQL.
• Build and optimize data models and visualizations in Power BI for business reporting.
• Collaborate with data scientists to support ML pipeline integration and feature engineering.
• Migrate and manage data across cloud platforms including Azure SQL, Data Lake, and local environments.
• Ensure data quality, governance, and performance tuning across all data processes.

Requirements

• Bachelor’s degree and 7+ years of experience in data and analytical functions, including in-depth quantitative analytics.
• Ability to work hybrid (Tuesday, Wednesday, Thursday) from Detroit, MI.

Nice to have

• Experience in scripting with SQL, extracting large sets of data, and designing ETL flows.
• Work experience in an interdisciplinary/cross-functional field.
• Utility or customer-oriented industry experience.

Culture & Benefits

• Participate in Agile ceremonies, including sprint planning and daily standups.
• W2 contract role offering extended duration.