Sr. Data Engineer
Location: Glendale, CA, Orlando, FL or Seattle, WA (Onsite/Hybrid – details upon request)
Pay Rate: Up to $93.95/hour
OverviewWe 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