Senior Data Engineer

Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.

• Build and maintain data integration workflows from various data sources to Snowflake. • Write efficient and optimized SQL queries for data extraction and transformation. • Work with stakeholders to understand business requirements and translate them

into technical solutions.

• Monitor, troubleshoot, and optimize data pipelines for performance and reliability. • Maintain and enforce data quality, governance, and documentation standards. • Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Base Compensation Range: 90,000 - 110,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience,