Sr Data Engineer BI

Bloomington, MN, 6400 W 105th St, Bloomington, MN 55438, USA.

Pay range: $120,000 – $130,000 USD.

This is a hybrid role based in the Bloomington, MN metro area. Applicants must be authorized to work for any employer in the U.S. We do not sponsor visas at this time. The Senior Data Engineer is a hands‑on technical leader responsible for designing, building, and evolving QBP’s modern data platform that powers Business Intelligence, AI, and advanced analytics across the enterprise.

• Own the end‑to‑end data architecture for key BI domains, including ingestion, storage, transformation, semantic modeling, and serving layers.
• Lead design and implementation of QBP’s medallion (Bronze/Silver/Gold) architecture on Microsoft Fabric / One Lake, integrating with the SQL Server data warehouse during the modernization transition.
• Set and enforce data engineering standards including coding practices, version control, code reviews, and automated testing.
• Serve as the technical escalation point for complex data engineering challenges across the BI team.
• Design, build, and optimize scalable, resilient, and idempotent data pipelines using Azure Data Factory, Fabric Data Pipelines, SAP Data Services, Python/PySpark, and SQL.
• Lead the migration of legacy ETL workloads into modern Azure/Fabric patterns as part of the S/4
  
  HANA transformation.
• Implement change‑data‑capture (CDC), incremental loads, retry‑safe backfills, and data quality checks across pipelines.
• Integrate data from SAP S/4
  
  HANA, High Jump WMS, Anaplan, Sales Cloud, ShipERP, and external partner feeds into the analytics platform.

• Design, develop, train, and deploy machine learning models to support forecasting, anomaly detection, classification, and recommendation use cases.
• Build, configure, and automate AI agents and agentic workflows that integrate with QBP’s enterprise systems and data platform.
• Operationalize ML models and AI agents through MLOps practices—model versioning, monitoring, drift detection, and automated retraining pipelines.
• Partner with business stakeholders to identify high‑value AI/ML opportunities and translate them into production‑grade solutions.
• Champion responsible AI practices, ensuring solutions are explainable, secure, and aligned with QBP’s data governance standards.

• Champion innovation by evaluating, prototyping, and recommending emerging data and AI technologies.
• Lead Proof‑of‑Concepts to validate new tools and patterns with clear milestones and documentation.
• Stay current on industry trends in Data Ops, data mesh, lakehouse architectures, and AI‑augmented data engineering.
• Identify and pilot AI/Copilot capabilities in Power BI and Fabric to accelerate analytics delivery.

• Implement data quality, lineage, cataloging, and master data management practices.
• Implement monitoring, observability, and freshness for critical data pipelines and datasets.
• Partner with Info Sec to implement role‑based access, row‑level security, and sensitivity labeling for data assets.
• Perform proactive monitoring and root‑cause analysis for refresh and ETL failures.
• Mentor and coach data engineers and BI developers; provide technical guidance, code reviews, and design feedback.
• Collaborate with SAP, WMS, eCommerce, Security, and Cloud Infrastructure teams to align on timelines, dependencies, and architectural direction.
• Partner with business stakeholders to translate analytics and AI requirements into scalable data solutions.

• Provide expert‑level support for production data pipelines, dataset refreshes, and BI platform stability.
• Lead incident response and root‑cause analysis for high‑severity BI issues.
• Drive continuous improvement in deployment, documentation, and code review standards.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of progressive experience in data engineering, business intelligence, or analytics platform development.
• Expert‑level SQL (T‑SQL, PL/SQL):…