Azure Data Engineer: Pipelines, BI & ETL

Work From Home; North Liberty (IA); On-site; USD 119,000 - 139,000; Full time

Job summary

GreenState's Data Engineer role focuses on designing, developing, and maintaining complex data solutions with an emphasis on Microsoft Azure pipelines. You will create robust data pipelines to support enterprise-wide data initiatives and enable strategic decisions across the organization.

Ideal candidates have 4–6 years in data engineering and BI, strong SQL/Python skills, and experience with Azure Data Factory, Power BI, and data modeling. Collaboration with stakeholders is key to success.

Qualifications

• Bachelor's Degree in Computer Science, Data Engineering, or related field.
• 4 to 6 years of experience in data engineering and business intelligence.
• Advanced proficiency in ETL using Azure cloud services, Power BI, Python, and SQL.
• Strong understanding of data modeling and warehouse design.
• Experience with cloud data architectures.
• Excellent analytical and problem-solving skills.
• Financial services industry experience preferred.

Responsibilities

• Develop and maintain data pipelines using Azure Data Factory and Power BI.
• Create advanced data models and ETL processes across enterprise systems.
• Implement data governance and quality control mechanisms.
• Design complex data transformations using Python, Spark, SQL, M, and DAX.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Support performance optimization of business units’ solutions.

Skills

ETL processes

Power BI

Python

SQL

Education

Bachelor's Degree in Computer Science/Data Engineering

Tools

Azure Data Factory

Job description

GreenState's Data Engineer role focuses on designing, developing, and maintaining complex data solutions with an emphasis on Microsoft Azure pipelines. You will create robust data pipelines to support enterprise-wide data initiatives and enable strategic decisions across the organization.

Ideal candidates have 4–6 years in data engineering and BI, strong SQL/Python skills, and experience with Azure Data Factory, Power BI, and data modeling. Collaboration with stakeholders is key to success.