Sr. Data Engineer

Sr. Data Engineer Location: Glendale, CA, Orlando, FL or Seattle, WA (Onsite/Hybrid – details upon request) Pay Rate: Up to $93.95/hour Overview We are seeking an experienced Senior Data Engineer to support our client's enterprise-level data initiatives focused on financial and operational analytics. This role will play a key part in building scalable data pipelines, enabling cost transparency, and supporting strategic decision-making through advanced data modeling and analytics. Key Responsibilities • Design, build, and maintain scalable data pipelines integrating financial and operational data from multiple enterprise systems into Snowflake • Develop and optimize data models and semantic layers for reporting and analytics • Implement complex cost allocation logic using SQL and/or Python • Collaborate with cross-functional teams including product, finance, engineering, and QA • Leverage orchestration tools (e.g., Airflow, DBT, Snowflake Tasks) to automate workflows • Ensure data quality, governance, and auditability through validation and control processes • Support ongoing enhancements, performance tuning, and operational stability of data systems Required Qualifications • 5+ years of experience in Data Engineering, with strong focus on cloud platforms (Snowflake preferred) • Advanced SQL expertise (CTEs, window functions, complex transformations) • Hands-on experience with Python for ETL/ELT and automation • Proven experience building and maintaining enterprise-scale data pipelines • Experience with financial data models (budgeting, forecasting, cost allocation, etc.) • Familiarity with orchestration tools such as Airflow or DBT • Experience working with enterprise systems (e.g., SAP, ServiceNow, or similar) • Strong communication and collaboration skills across technical and non-technical teams • Bachelor’s degree in a STEM field or equivalent experience Preferred Qualifications • Experience with Snowflake Cortex AI (analytics or visualization layers) • Familiarity with Technology Business Management (TBM) frameworks • Understanding of corporate finance and accounting processes Additional Details • High-visibility role supporting enterprise data and analytics initiatives • Opportunity to work on complex financial and operational data systems • Fast-paced, collaborative environment