Stelvio Inc.
Data Engineer
Hybrid - 2-3 days on site
Phoenix, AZ
Were looking for a Data Engineer to help build the cloud-native data pipelines that power critical insights across our organization. Youll work with modern technologies, solve real-world data challenges, and support analytics and reporting systems that drive smarter decision-making in the transportation space.
What Youll Do Build and maintain data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric Implement incremental and real-time ingestion using medallion architecture Develop and optimize complex SQL and Python transformations Support legacy platforms (SSIS, SQL Server) while contributing to modernization efforts Troubleshoot data quality and integration issues Participate in proof-of-concepts and recommend technical solutions
What You Bring 5+ years designing and building data solutions Strong SQL and Python skills Experience with ETL pipelines and Data Lake architecture Ability to collaborate and adapt in a fast-moving environment
Preferred:
Azure services, cloud ETL tools, Power BI/Tableau, event-driven systems, NoSQL databases Bonus:
Experience with Data Science or Machine Learning
Benefits Medical, dental, and vision from day one
PTO & holidays
401(k) with match
Lifestyle account
Tuition reimbursement
Voluntary benefits
Employee Assistance Program
Well-being & culture programs
Professional development support
Were looking for a Data Engineer to help build the cloud-native data pipelines that power critical insights across our organization. Youll work with modern technologies, solve real-world data challenges, and support analytics and reporting systems that drive smarter decision-making in the transportation space.
What Youll Do Build and maintain data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric Implement incremental and real-time ingestion using medallion architecture Develop and optimize complex SQL and Python transformations Support legacy platforms (SSIS, SQL Server) while contributing to modernization efforts Troubleshoot data quality and integration issues Participate in proof-of-concepts and recommend technical solutions
What You Bring 5+ years designing and building data solutions Strong SQL and Python skills Experience with ETL pipelines and Data Lake architecture Ability to collaborate and adapt in a fast-moving environment
Preferred:
Azure services, cloud ETL tools, Power BI/Tableau, event-driven systems, NoSQL databases Bonus:
Experience with Data Science or Machine Learning
Benefits Medical, dental, and vision from day one
PTO & holidays
401(k) with match
Lifestyle account
Tuition reimbursement
Voluntary benefits
Employee Assistance Program
Well-being & culture programs
Professional development support