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POS​/Syndicated Consumption Platform Data Engineer

Job in Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: Versique Consulting & Search
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 121000 USD Yearly USD 121000.00 YEAR
Job Description & How to Apply Below

Overview

We’re seeking a Data Engineer with at least 3 years of professional experience with data enablement for a Point of Sale or Syndicated Consumption platforms in support of Sales and Marketing stakeholders. This role plays a critical part in modernizing analytics capabilities by designing scalable data pipelines, performant data models, and intuitive reporting solutions. The ideal candidate is a strong communicator who thrives in a collaborative environment and enjoys solving complex data challenges end-to-end.

Worksite Location: Eden Prairie, MN (Mon-Thurs in-office; Friday WFH)

Compensation & Benefits
  • Pay Range: up to $121K base salary + annual bonus + profit sharing bonus + 401k + pension
  • No work visa sponsorship available; no C2C, thank you
  • Benefits:
    Base salary + bonus potential
  • Medical, dental, vision
  • Pension plan
  • Profit sharing
  • 401(k)
  • Relocation assistance
  • Paid personal time (PTO)
  • Free two-year community/technical college tuition for children of employees, and more
Roles & Responsibilities
  • Partner with Sales, Marketing, Analytics, and technical teams to understand data needs and deliver scalable data solutions.
  • Design and evolve enterprise data warehouse architectures based on functional and technical requirements.
  • Build and maintain logical and physical data models across staging, warehouse, and semantic layers.
  • Develop, optimize, and maintain batch and mini-batch ELT/ETL pipelines moving data from diverse source systems into dimensional models.
  • Tune SQL queries, Python processes, and data pipelines to ensure high performance across medium to large datasets.
  • Implement scheduling and orchestration for automated data loads and refresh cycles.
  • Troubleshoot data quality, reliability, and performance issues across existing analytics solutions.
  • Design and deliver dashboards, reports, and visualizations that enable faster insight discovery and decision-making.
  • Ensure analytics solutions meet usability, performance, and scalability standards.
Required Skills & Experience
  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 4+ years of hands-on experience reading and writing SQL in analytical or data warehouse environments.
  • 3+ years of experience designing and engineering data warehouses with dimensional data models.
  • 3+ years of experience building data pipelines or ETLs using Python and cloud-based or enterprise integration tools.
  • Experience supporting analytics use cases tied to Sales, Marketing, Point-of-Sale, or consumption data platforms.
  • Proven ability to gather technical requirements and translate them into scalable data structures and reporting solutions.
Preferred Skills & Experience
  • Advanced SQL expertise, including performance tuning and complex query optimization.
  • Experience developing analytics solutions in cloud data platforms and relational databases.
  • Familiarity with syndicated consumption data providers or retailer-focused POS platforms.
  • Experience tuning ELT/ETL workflows and large-scale analytical queries.
  • Hands-on experience with business intelligence platforms and semantic modeling layers.
  • Exposure to cloud data services such as streaming, orchestration, storage, and data integration tools.
  • Background supporting Sales, Marketing, or commercial analytics at enterprise scale.
About Versique

Versique is a locally owned and operated hiring and placement firm based in the Twin Cities of Minnesota. We are an equal-opportunity employer committed to creating a diverse workforce. We consider all qualified applicants regardless of race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability, or veteran status.

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