Senior Data Platform Engineer (Edina)

Data Platform Engineer

Position Overview

As a Data Platform Engineer, you will be responsible for the ingestion, transformation, and maintenance of enterprise data used to serve analytics needs for the business. Working closely with Business Analysts and Data Architects, you will use your technical skills to understand and execute business requirements. This role requires strong fundamentals in data engineering and a collaborative, business-process-oriented mindset.

Essential Job Functions

Data Preparation (70% time allocation)

• Use DBT to move data through a medallion architecture in Snowflake.
• Apply standardization and resolve conflicts in raw layer data (cleansing).
• Use cleansed data and dimensional modeling techniques (Kimball) to create facts and dimensions in the data warehouse.
• Create curated, highly consumable data products that fulfill business needs.
• Represent business processes digitally in data models, ensuring accurate reflection of underlying processes.

Quality Assurance (15% time allocation)

Team Development (10% time allocation)

Data Ingestion (5% time allocation)

Knowledge, Skills, and Abilities

Education / Experience

Additional Notes

Ideal candidates understand the fundamentals of data engineering and can articulate their experience designing and building data systems. They should be collaborative, positive, and business-process oriented, avoiding rigid enforcement approaches. Flexibility and adaptability are key.

Please note : Unfortunately, No Visa Sponsorship or Transfers will be available for this position.