Sr. Data Engineer

Prosum Inc.
Glendale, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 195K

Job location

Glendale, United States of America

Tech stack

Artificial Intelligence
Airflow
ARM
Audit Trail
Information Engineering
ETL
Data Systems
Python
Operational Data Store
Performance Tuning
SAP Applications
SQL Databases
Workflow Management Systems
Enterprise Data Management
Enterprise Software Applications
Snowflake
Data Layers
Data Pipelines
ServiceNow

Job description

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., * 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

Requirements

  • 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, * 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

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