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

Sr. Data Engineer

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