Data Engineer

Overview

Our Enterprise Analytics Center of Excellence (CoE) is building the next-generation analytics stack centered on Snowflake (AWS) and Sigma.

We’relooking for aData Engineer to help design, build, andoperatethis modern data architecture. This role focuses on developing efficient, governed data pipelines and enabling analytics teams across the business to access reliable, high-quality data.

• Build andmaintainscalable data pipelines using Snowflake Open Flow and related Snowflake-native tools.

• Assistin migrating existing Dataiku pipelines into Snowflake to simplify architecture and improve efficiency.

• Continuously improve workflows for performance, reliability, and maintainability.

• Develop and maintain
  
  Snowflake semantic views that support analytics and reporting needs.

• Apply data modeling best practices to ensure consistency across business domains.

• Support creation of governed, role-based semantic layers for Finance, Operations, and other enterprise areas.

• Implement data access controls aligned with enterprise RBAC frameworks.

• Support metadata management and cataloging for visibility in Sigma.

• Ensure pipelines and models meet enterprise data governance standards.

• Deliver clean, governed data sets for Sigma dashboards and embedded analytics use cases.

• Monitor andoptimizequery performance to balance cost and speed.

• Partner with analysts and BI developers to ensure data is reliable and ready for consumption.

• Stay current with Snowflake and Sigma feature updates.

• Recommend improvements to data engineering processes and automation where possible.

• Contribute to a culture of learning and collaboration within theCoE.

• Bachelor's or Master's degree in Computer Science, Data Engineering, ora related field.

• At least5years of experience as a Data Engineer or in a similar role.

• Snowflakeexpertise:SQL, Open Flow, Tasks/Streams, and performance optimization.

• Cloud experience:Hands-on with AWS (S3, IAM, Glue, Lambdaa plus).

• Data modeling:Familiar with dimensional modeling and semantic layer design.

• ETL/ELT engineering:Experience building andoptimizingdata pipelines.

• Governance & Security:Understanding ofAD/LDAP integration, RBAC, and data cataloging.

• Programming:Proficient in SQL and Python.

• Strong problem-solving skills and a desire to learn emerging data technologies.

• Experience supporting Power BI to Sigma migrations or similar modern BI transitions.

• Familiarity with Sigma features such as Ask Sigma, Write-Back, or Embedded Analytics.

• Exposure to Dataiku or similar ETL platforms.

• Interestin modern data practices such as AI-assisted analytics or NLP-based BI tools.

Approximately 10%

Position involves sitting forlong periods, standing, manual dexterity, stooping,bending and minimal lifting.

• Dedicated
  :
  Follows through on commitments. Strongsay/do.

• Respectful
  :
  Acts with integrity andvaluesdiverse perspective.

• Innovative
  :
  Always looking for a better way;leadschange.

• Versatile
  :
  Adapts quickly to changing circumstances. Demonstrates agility.

• Engaged
  :
  Acts like an owner. Wants to create and grow a business which is tightly aligned with market needs.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

. Type Full-Time