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Senior Power Bi Developer Jobs in Minnesota (NOW HIRING)

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Identify and pilot AI/Copilot capabilities in Power BI and Fabric to accelerate analytics delivery.

QBP

BI Application Manager

Bloomington, MN · Hybrid

$140K - $150K/hr

Oversee the end-to-end BI toolset including Power BI, ETL/ELT, data warehouse/lakehouse, and ... Present BI strategy, roadmap, risks, and outcomes to senior leadership and steering committees.

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Senior Data Engineer - Microsoft Fabric & Power BI Location: Vadnais Heights, MN - Hybrid What is IP Corporation? IP Corporation is a privately held, family-owned chemical manufacturing organization ...

Bridgewater Bank

BI Engineer

Saint Louis Park, MN · On-site

$94K - $120K/yr

We are looking for a BI Engineer to join our Data Services team at Bridgewater Bank in St. Louis ... Design, build, and maintain Power BI semantic models, dashboards, and reports that support business ...

Bridgewater Bank

BI Engineer

Saint Louis Park, MN · On-site

$94K - $120K/yr

We are looking for a BI Engineer to join our Data Services team at Bridgewater Bank in St. Louis ... Design, build, and maintain Power BI semantic models, dashboards, and reports that support business ...

Eaton

Senior Power Systems Engineer

Chanhassen, MN · On-site

$86K - $126K/yr

We're hiring a Power System Engineer in Chanhassen, MN! This is a hybrid role with approximately 25% regional travel. The expected annual salary range for this role is $86000 - $126000 a year. Please ...

IWCO Direct

Senior Data Analyst

Chanhassen, MN · On-site

$100K - $125K/yr

The Senior Data Analyst is responsible for the operational integrity of IWCO Direct's reporting ... engineering roles. * Hands-on experience with Power BI development, including data modeling, DAX ...

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How much do senior power bi developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for senior power bi developer in Minnesota is $58.83, according to ZipRecruiter salary data. Most workers in this role earn between $51.78 and $63.32 per hour, depending on experience, location, and employer.

Is Senior Power BI Developer still in demand?

Senior Power BI Developers are in high demand due to the increasing reliance on data analytics and business intelligence tools across industries. Skills in data modeling, DAX, and visualization, along with certifications, enhance job prospects as organizations seek to improve decision-making processes.

Is a Senior Power BI Developer still in demand in 2026 and after 2026?

Senior Power BI Developers are expected to remain in demand beyond 2026 due to ongoing needs for data analysis, reporting, and business intelligence skills. Proficiency in tools like DAX, Power Query, and cloud integration will continue to be valuable as organizations prioritize data-driven decision-making.

What are the key skills and qualifications needed to thrive in the senior Power BI developer position, and why are they important?

To thrive as a Senior Power Bi Developer, you need advanced expertise in data modeling, DAX, Power Query, and business intelligence reporting, typically backed by a degree in computer science or a related field. Familiarity with the Microsoft Power Platform, Azure services, SQL databases, and relevant certifications like Microsoft Certified: Data Analyst Associate is essential. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills for this role. These competencies enable developers to deliver accurate, actionable insights that drive key business decisions and foster cross-functional collaboration.

What are the primary responsibilities and daily tasks of a senior Power BI developer?

As a Senior Power Bi Developer, you will design and develop interactive dashboards and reports using Power BI, transform and model large data sets, and ensure data accuracy and security. You’ll work closely with business stakeholders to understand reporting requirements, translate them into technical solutions, and optimize data workflows for performance. Collaboration with data engineers, analysts, and IT teams is common, and you may also mentor junior developers or provide best practice recommendations to team members. On a typical day, tasks could include building data visualizations, troubleshooting issues, refining existing reports, and supporting business units with ad hoc data needs.

What is a senior Power BI developer?

A Senior Power BI Developer is responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. They work closely with stakeholders to understand business requirements, create data models, develop reports and dashboards, and optimize data visualization for decision-making. Additionally, they ensure data accuracy, performance optimization, and integration with various data sources. Senior developers also mentor junior team members and contribute to best practices in BI development and data governance.

What does a senior Power BI developer do?

A senior Power BI developer designs, develops, and maintains interactive data reports and dashboards using Microsoft Power BI. They analyze data sources, create data models, and implement visualizations to support business decision-making, often requiring expertise in DAX, data modeling, and SQL. They may also oversee data governance and collaborate with stakeholders to ensure accurate and actionable insights.
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Senior Power Bi Developer jobs near you
Infographic showing various Senior Power Bi Developer job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $122,357 per year, or $58.8 per hour.

Sr Data Engineer BI

Quality Bicycle Products

Bloomington, MN • On-site

$110K - $150K/yr

Full-time

Re-posted 5 days ago

Quality Bicycle Products rating

9.0

Company rating: 9.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

26th of 415 rated retail wholesalers

Job description

This is a Hybrid role that is based in the Bloomington, MN Metro area. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
WHAT YOU WILL BE ACCOUNTABLE FOR:
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. This role bridges current-state SAP Data Services and SQL Server data warehousing with the future-state Microsoft Fabric / OneLake lakehouse architecture, while integrating data from QBP's complex enterprise landscape including SAP S/4HANA, HighJump WMS, Anaplan, Prophix, Sales Cloud, and eCommerce. Beyond traditional data engineering, this role will lead the development of AI/ML capabilities - building machine learning models, designing and automating AI agents, and operationalizing agentic workflows that augment business decision-making. The Senior Data Engineer is expected not only to deliver, but to innovate evaluating emerging technologies, championing modern data engineering practices, and shaping the architectural direction of QBP's data and AI platform.
Technical Leadership & Architecture [25%]
  • 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 / OneLake, 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.

Data Pipeline Development & ETL/ELT [20%]
  • Design, build, and optimize scalable, resilient, and idempotent [LP1.1][SB1.2][LP1.3]data pipelines using Azure Data Factory, Fabric Data Pipelines, SAP Data Services (current state), Python/PySpark, and SQL.
  • Lead the migration of legacy ETL workloads (SAP Data Services, AWS SQL Server) into modern Azure/Fabric patterns as part of the S/4HANA transformation.
  • Implement change-data-capture (CDC), incremental loads, retry-safe backfills, and data quality checks across pipelines.
  • Integrate data from SAP S/4HANA, HighJump WMS, Anaplan, Sales Cloud, ShipERP, and external partner feeds into the analytics platform.

AI/ML Development & Agentic Workflows [15%]
  • Design, develop, train, and deploy machine learning models to support forecasting, anomaly detection, classification, and recommendation use cases across QBP's business domains.
  • Build, configure, and automate AI agents and agentic workflows (e.g., Microsoft Copilot Studio, Azure AI Foundry, LangChain/LangGraph, or equivalent) 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.

Innovation & Emerging Technology [10%]
  • Champion innovation by evaluating, prototyping, and recommending emerging data and AI technologies (e.g., Microsoft Fabric, SAP BDC/DataSphere, Databricks, Delta Sharing, real-time analytics, LLM-based agents).
  • Lead Proof-of-Concepts (POCs) to validate new tools and patterns (e.g., Fabric Lakehouse POC, agentic AI workflows), with clear milestones and documentation.
  • Stay current on industry trends in DataOps, data mesh, lakehouse architectures, and AI-augmented data engineering.
  • Identify and pilot AI/Copilot capabilities in Power BI and Fabric to accelerate analytics delivery.

Data Governance, Quality & Reliability [10%][LP2.1][SB2.2][LP2.3]
  • Implement data quality, lineage, cataloging, and master data management practices.
  • Implement monitoring, observability, and freshness for critical data pipelines and datasets.
  • Partner with InfoSec 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.

Mentorship & Cross-Functional Collaboration [10%]
  • Mentor and coach data engineers and BI developers; provide technical guidance, code reviews, and design feedback.
  • Collaborate with the 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.

Operational Support & Production Stewardship [10%]
  • 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.

*Represents essential duties. Other tasks and responsibilities as assigned.
WHAT YOU NEED TO SUCCEED:
REQUIRED QUALIFICATIONS:
  • 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): complex queries, stored procedures, window functions, partitioning, performance tuning.
  • 5+ years designing and building ETL/ELT pipelines with tools such as Azure Data Factory, SAP Data Services, Fabric Data Pipelines, or equivalent.
  • Strong understanding of dimensional modeling (star/snowflake schemas, slowly-changing dimensions) and modern lakehouse / medallion architecture patterns.
  • Proven experience integrating BI/data platforms with enterprise COTS systems - SAP (ECC, S/4HANA, or BW), HighJump WMS, Anaplan, or equivalent.
  • Experience with Power BI semantic modeling and DAX.
  • Demonstrated experience leading technical design, mentoring engineers, and driving best practices.
  • Excellent communication skills with the ability to translate complex technical concepts for both technical and non-technical stakeholders.

PREFERRED QUALIFICATIONS:
  • Degree in Data Science, Analytics, Computer Science, or related field.
  • 3+ years programming experience in Python and/or PySpark for data engineering and ML workloads.
  • Hands-on experience building and deploying machine learning models (scikit-learn, TensorFlow, PyTorch, Azure ML, or Fabric Data Science).
  • Experience designing and automating AI agents and agentic workflows using frameworks such as Microsoft Copilot Studio, Azure AI Foundry, or equivalent.
  • Familiarity with LLM integration patterns (RAG, function/tool calling, prompt engineering) and vector databases.
  • Experience with MLOps practices and tooling.
  • Experience with ETL tools (CDS Views, BDC, DataSphere, Theobald Xtract Universal, or dab Nexus).
  • Experience with streaming/real-time data (Kafka, Event Hubs, Fabric Real-Time Intelligence, or Spark Structured Streaming).
  • Experience with DataOps / CI-CD for data.
  • Familiarity with Microsoft Purview or other data governance/cataloging platforms.
  • Working knowledge of AWS/Fabric for cross-cloud integration.
  • Experience with Agile/Scrum methodologies.

OTHER RELATED CRITERIA:
Physical Requirements
  • Ability to perform work on a phone and computer extensively.

Model QBP Core Values
  • Act with integrity
  • Be a true partner
  • Create something special
  • Deliver greatness
  • Keep the customer first

As a senior technical leader, believe in and serve as a role model for Q's DEI mission by creating a work environment where everyone has respect, space, a voice, and can thrive.
Quality Bicycle Products is a proud certified B-Corp and an Equal Employment Opportunity employer committed to diversity, equity, and inclusion. We welcome talent from all backgrounds and encourage employees to bring their authentic selves to work. We do not discriminate based on race, color, religion, national origin, sex (including pregnancy and related conditions), sexual orientation, gender identity or expression, age, veteran status, disability, genetic information, political views or activity, or any other protected characteristic.
At Quality Bicycle Products, we approach pay ethically and transparently. Our pay ranges are informed by third-party market data and aligned with internal equity across similar roles. Individual pay within these ranges may vary based on skills, experience, performance, tenure, and budget considerations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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