Sr. Data Engineer
Sr. Data EngineerLocation: Glendale, CA, Orlando, FL or Seattle, WA (Onsite/Hybrid – details upon request)Pay Rate: Up to $93.95/hourOverviewWe 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 ResponsibilitiesDesign, build, and maintain scalable data pipelines integrating financial and operational data from multiple enterprise systems into SnowflakeDevelop and optimize data models and semantic layers for reporting and analyticsImplement complex cost allocation logic using SQL and/or PythonCollaborate with cross-functional teams including product, finance, engineering, and QALeverage orchestration tools (e.g., Airflow, DBT, Snowflake Tasks) to automate workflowsEnsure data quality, governance, and auditability through validation and control processesSupport ongoing enhancements, performance tuning, and operational stability of data systemsRequired Qualifications5+ 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 automationProven experience building and maintaining enterprise-scale data pipelinesExperience with financial data models (budgeting, forecasting, cost allocation, etc.)Familiarity with orchestration tools such as Airflow or DBTExperience working with enterprise systems (e.g., SAP, ServiceNow, or similar)Strong communication and collaboration skills across technical and non-technical teamsBachelor’s degree in a STEM field or equivalent experiencePreferred QualificationsExperience with Snowflake Cortex AI (analytics or visualization layers)Familiarity with Technology Business Management (TBM) frameworksUnderstanding of corporate finance and accounting processesAdditional DetailsHigh-visibility role supporting enterprise data and analytics initiativesOpportunity to work on complex financial and operational data systemsFast-paced, collaborative environment