Data Engineer - Analytics

About the Role

We're looking for a motivated Data Engineer with hands-on experience in SQL Server, SSIS, Azure cloud data tools, and Power BI. You'll help build and maintain data pipelines, support cloud-based integrations, and contribute to BI solutions that actually matter.

Key Responsibilities

• Develop, optimize, and maintain ETL/ELT pipelines across on-premises and Azure environments
• Design and manage SQL Server objects — tables, views, stored procedures, and functions
• Build data ingestion and transformation solutions using SSIS, ADF, ADLS, Azure Synapse, and Databricks (basic exposure is a plus)
• Create and manage Power BI datasets, dataflows, DAX measures, and interactive dashboards
• Ensure data quality, reliability, and timely availability across systems
• Troubleshoot pipeline failures, performance issues, and data inconsistencies
• Collaborate with analysts and business users on reporting requirements
• Document workflows, data models, and SOPs

Requirements

• 2-3 years of experience as a Data Engineer, BI Developer, or similar
• Strong MS SQL Server & T-SQL skills
• Hands-on with Azure tools — ADF, ADLS, Synapse
• Power BI proficiency — reports, dashboards, DAX, data modeling
• Solid understanding of ETL/ELT and star/snowflake data modeling

Job Type: Full-time

Application Question(s):

• What is your current salary?
• What is your expected salary?
• We are located near UCP, are you comfortable with the location?

Work Location: In person