Data Engineer

Lee Enterprises, Inc. is seeking a qualified Data Engineer who will be responsible for designing, building, and optimizing the data infrastructure that powers enterprise analytics, reporting, and data-driven applications. This role focuses on developing scalable data pipelines, ensuring data quality, and enabling efficient access to data across the organization., * Design, develop, and maintain scalable ETL/ELT data pipelines

• Build, optimize, and manage datasets for analytics, reporting, and operational use
• Ensure data quality, integrity, security, and adherence to privacy standards
• Collaborate with teams across the organization to understand business needs, internalize product requirements, adapt to any technical or development limitations, and deliver effective data solutions
• Write optimized & performative SQL queries across data management systems, including Google Big Query, MS SQL Server, and Oracle
• Maintain the organization & relevance of technical documentation, event specifications, and other critical resources in the data services Confluence workspace
• Employ data transformation tools such as dbt or Dataform to manage, test, and document data workflows
• Develop data integration pipelines and synchronization functions as needed using languages such as Javascript or Python
• Support data platform migrations and transitions that may impact customers and internal Lee stakeholders
• Enhance the current internal data monitoring framework to minimize response time identifying issues & bugs that impact our data services
• Use git for version control
• Participate in agile/scrum ceremonies, including daily stand-up, sprint planning, sprint review, and sprint retrospective
• Pursue opportunities to continuously learn & adopt modern data engineering practices

• Mastery of SQL, with system-agnostic knowledge of syntax & optimization
• Proficiency across Google Cloud Platform, specifically Big Query, Google Analytics, Google Tag Manager, Dataform, and Dataplex Universal Catalog
• Experience with relational database management systems, such as MS SQL Server & Oracle
• Understanding of dimensional & relational data modeling principles, techniques, and use cases
• Familiarity with data transformation tools such as dbt or Dataform
• Knowledge of CI/CD and automation tooling
• Ability to communicate across both technical & non-technical audiences
• Strong problem-solving skills, attention to detail, and ability to learn quickly

Education and Experience:

• Bachelor's degree in computer science, information systems, or a related field
• Proven experience as a Data Engineer or similar role

Travel Required:

• Minimal travel may be required for meetings at corporate offices or conferences