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Senior Database Developer Jobs in Minnesota (NOW HIRING)

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... prompt engineering) and vector databases. * Experience with MLOps practices and tooling.

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

Automation & DevOps * Lifecycle Management * Security & Compliance * Design, develop, and deploy AI ... database administration, operations, and production support * 5 years of experience in resolving ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Automation & DevOps * Lifecycle Management * Security & Compliance * Design, develop, and deploy AI ... database administration, operations, and production support * 5+ years of experience in resolving ...

Kobie Marketing

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

Omnicom

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You ...

The Whiteside Agency

Senior Data Engineer

Saint Paul, MN · On-site

$139K - $230K/yr

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that ...

Posted today

UnitedHealth Group

Senior Data Engineer

Minnetonka, MN · On-site +1

$108K - $146K/yr

Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management * Monitor and troubleshoot production data pipelines ...

Sovereign Technologies

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

What are they looking for: Dev Engineer capabilities (this is the core of the role) App dev experience (scripting, especially in python) Expert in AI or Automation (this would be a huge plus) NOTE ...

Srikanth

Sr Lombardi developer

Eagan, MN · On-site

$55.50 - $73.50/hr

This senior developer position will lead Lombardi developers on a new, strategic project. Project ... Strong database skills, including Oracle PL/SQL, SQL, stored procedures. Deployment to Dev, QA, and ...

Srikanth

Sr Lombardi developer

Eagan, MN · On-site

$55.50 - $73.50/hr

This senior developer position will lead Lombardi developers on a new, strategic project. Project ... Strong database skills, including Oracle PL/SQL, SQL, stored procedures. Deployment to Dev, QA, and ...

Infojini Inc

Senior Systems Developer

Saint Paul, MN · On-site

Position: Senior Systems Developer Location: St. Paul, MN Duration: 12+ months Client: Direct ... of hierarchical database experience (e.g. IMS); 10 years of CICS experience; 5 years of SQL ...

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All JobsDatabase Developer JobsSenior Database Developer JobsSenior Database Developer Jobs in Minnesota

Senior Database Developer information

See Minnesota salary details

$16

$55

$79

How much do senior database developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for senior database developer in Minnesota is $55.64, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $65.91 per hour, depending on experience, location, and employer.

What is the difference between Senior Database Developer vs Database Administrator?

AspectSenior Database DeveloperDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systems and queriesMaintaining, securing, and backing up databases
Required SkillsSQL, database design, performance tuning, codingDatabase management, security protocols, troubleshooting
Work EnvironmentDevelopment teams, project-based tasksOperational environment, system monitoring
CertificationsOracle, Microsoft SQL Server certificationsOracle Certified Professional, Microsoft Certified: Azure Database Administrator

While both roles require strong SQL and database knowledge, Senior Database Developers focus on creating and optimizing database solutions, whereas Database Administrators handle the ongoing maintenance, security, and performance of databases. Understanding these differences helps employers and professionals align skills with job responsibilities.

What are the most commonly searched types of Database Developer jobs in Minnesota? The most popular types of Database Developer jobs in Minnesota are:
Infographic showing various Senior Database Developer job openings in Minnesota as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $115,738 per year, or $55.6 per hour.

Sr Data Engineer BI

Quality Bicycle Products

Bloomington, MN • On-site

Full-time

Re-posted yesterday

Quality Bicycle Products rating

9.0

Company rating: 9.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

25th of 412 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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