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.

• 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 Java script 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

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

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

Lee Enterprises offers competitive wages in a dynamic, interesting work environment with career growth opportunities. We offer an extensive benefit program that can be personalized to your needs. Our benefit program includes medical, dental, vision, short and long-term disability, company provided life insurance and supplemental life insurance. In addition, we offer a 401K retirement plan with company match. We also offer generous paid time off to allow the flexibility to balance personal life and work.

This includes paid parental leave for new parents.

Lee Enterprises is a major subscription and advertising platform and a leading provider of local news and information, with daily newspapers, rapidly growing digital products and nearly 350 weekly and specialty publications serving 72 markets in 25 states. Our core commitment is to provide valuable, intensely local news and information to the communities we serve.

Lee Enterprises is proud to be an equal opportunity employer. We are committed to attracting and retaining a workforce whose diversity reflects the communities we serve. Lee embraces change, and we recognize that we must create and maintain a culture of fervent inclusion. For more information about Lee, check us out at

We are focused on building a diverse and inclusive workforce. If you are excited about this role but do not meet 100% of the qualifications above, we encourage you to apply.