Data Engineer

We’re seeking an experienced Data Engineer to connect our field engineering teams with corporate analytics by building scalable, reliable data pipelines and high-quality data foundations. In this role, you will transform complex and inconsistent field data from our Appian-based application into trusted, analytics-ready datasets that drive operational and financial decision-making.

This is a high-impact, hands-on role working closely with field operations, analytics, and leadership.

What You’ll Do

• Design and maintain automated ETL pipelines from Appian into Azure and Snowflake
• Build data cleansing, validation, and normalization workflows
• Monitor pipeline performance and resolve data quality issues
• Develop analytics-ready data models for reporting and BI consumption
• Support Power BI dashboards and KPI reporting
• Translate business requirements into scalable data solutions
• Partner with operations to improve data quality at the source
• Present insights and data findings to technical and non-technical audiences

What You Bring

• 7–10 years of Data Engineering, Analytics Engineering, or BI Engineering experience
• Advanced SQL and strong data modeling expertise
• Experience with Azure (Data Factory, Synapse, SQL Database)
• Snowflake data warehousing and performance optimization
• Power BI integration and semantic modeling experience
• Appian or low-code platform data integration experience (plus)
• Python or R for data manipulation (nice to have)
• Experience supporting operational or field-based teams preferred