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Data Engineer

Job in Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: Saige Partners
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Engineer

Seeking a Staff Data Engineer to design, build, and optimize data solutions that support reporting, analytics, and business decision-making. This role partners with business and technical teams to deliver scalable data pipelines, models, and dashboards.

Responsibilities
  • Collaborate with stakeholders to understand data and reporting needs.
  • Design and maintain data warehouse structures and dimensional data models.
  • Build and optimize ETL/ELT pipelines using SQL, Python, and cloud technologies.
  • Develop data ingestion and transformation processes from multiple data sources.
  • Monitor, troubleshoot, and improve data quality and performance.
  • Create dashboards, reports, and visualizations using BI tools.
  • Support ongoing maintenance and enhancement of analytics solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, MIS, or a related field.
  • 4+ years of SQL development experience.
  • 3+ years of data engineering, data warehousing, or dimensional modeling experience.
  • 3+ years of ETL/ELT development using Python, Big Query, Informatica, or similar tools.
  • Experience working with POS or syndicated consumption data.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Advanced SQL and query optimization experience.
  • Experience with Google Cloud Platform and Big Query.
  • Strong background in data warehousing and dimensional modeling.
  • Experience with Sales, Marketing, Retail, or Consumer Analytics data.
  • Experience with Power BI, Tableau, Oracle BI, or similar tools.
  • Familiarity with cloud data services and enterprise BI platforms.
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