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.

This position will be located onsite in Davenport, IA.

Job Duties & Responsibilities:

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 BigQuery, 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 Required Skills:

Mastery of SQL, with system-agnostic knowledge of syntax & optimization Proficiency across Google Cloud Platform, specifically BigQuery, 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

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