Lee Enterprises Inc
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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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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