Columbia Sportwear Company is seeking a Senior Data Engineer in Portland, OR. Responsibilities: Design and implement Kimballstyle dimensional models and analytical datasets; develop transformations with tests, documentation, and data contracts. Build and maintain ELT/ETL workflows into data warehouses/lakes, including orchestration, monitoring, and cost/performance tuning; Develop governed BI semantic models and datasets for Power BI; enable selfservice while enforcing data quality, lineage, and security policies; Evangelize data and tools that increase organizational access to data and ad hoc capabilities to help stakeholders to draw conclusions and drive data-informed decisions; Continuous data exploration of internal and external data sources, working with BSAs, Data Engineering to ingest into data lake/data bricks/synapse for analysis and development; Elicit and clarify business requirements; document specs, KPIs, and acceptance tests; deliver demos, office hours, and enablement; Implement CI/CD (Gitbased), unit/integration testing, and data observability SLAs/SLOs; Profile SQL and storage strategies, caching, and compute scaling; and Contribute to catalog/lineage, RBAC/ABAC, PII handling, and retention standards. This is a hybrid role.
Requirements: Bachelor’s degree in Computer Science, Information Technology, Electrical Engineering, or related (foreign equivalent), and 36 months of experience in job offered or related position, including SQL development, including writing complex queries, stored procedures, views, joins, and performing performance tuning in SQL Server environments; ETL/ELT development using SSIS or equivalent tools, including data mapping, transformations, workflow scheduling, and job automation; Power BI development, including building semantic models, dashboards, and reports; creating DAX measures; performing Power Query (M) transformations; and publishing to Power BI Service; Dimensional data modeling, including designing star and snowflake schemas using Kimball or equivalent methodologies; Data validation and profiling, including dataset optimization, incremental refresh, and cross-system data reconciliation; Working with databases and cloud platforms such as Azure SQL or Snowflake; JIRA for issue tracking and project management. Mail resumes to Carley Jonhson, 14375 NW Science Park Drive, Portland, OR, 97229.