Sr Database Engineer

Preferred Credit•St Cloud, MN

13d•$103,000 - $128,750•Hybrid

About The Position

SENIOR DATABASE ENGINEER Must reside in MN and have reasonable commute to St. Cloud, MN due to monthly in-office requirements. SCHEDULE: Full-Time, Monday–Friday 8:00am-5:00pm CST COMPENSATION: Starting Pay $103,000 – $128,750 per year (The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.) WHO WILL SHINE IN THIS ROLE Are you looking to join a collaborative, forward-thinking team where your data engineering expertise directly enables business outcomes? We're seeking someone to work in a supportive hybrid environment that encourages innovation, continuous learning, and ownership , with clear opportunities to grow your skills and make a lasting impact .

Requirements

BS in Computer Science or equivalent program/experience.
Minimum of 5 years of hands-on database administration and development experience.
Experience with Microsoft SQL Server.
Proficiency in critical and analytical thinking, time management, and organization.
Strong intellectual curiosity and business acumen, with the ability and desire to deeply understand the company’s data and evolve into a trusted data expert across multiple business domains.
Effective verbal communication and attention to detail.
Ability to handle confidential information.

Nice To Haves

Preferred experience with Microsoft Fabric and Azure data services (e.g., Azure Data Factory, Synapse, Data Lake), including designing and operating cloud-scale data pipelines and analytics platforms.

Responsibilities

Database Platform & Data Operations: Deploy, configure, and operate modern database platforms across on-prem and cloud environments.
Ensure data security, governance, and access controls in line with best practices.
Monitor, tune, and troubleshoot database performance and reliability.
Manage solutions for database disaster recovery and high availability.
Evaluate, recommend, and implement emerging data and database technologies.
Enable analytics by supporting datasets, reports, dashboards, and semantic models.
Automate operational tasks and support reliable, scalable data operations, including on-call rotation as needed.
Plan and execute database upgrades, migrations, and application integrations.
Business Intelligence Development: Design, build, and maintain scalable, reliable data pipelines and analytics architectures.
Integrate and curate complex datasets to meet evolving business and analytical needs.
Develop data transformation, modeling, and workload orchestration processes.
Partner with business and technical stakeholders to support data access, insights, and issue resolution.
Ensure data solutions comply with regulatory, security, and company governance standards.
Third Party Application Support: Provide technical support and configuration for third-party applications.
Customize and optimize third-party applications through data models, database configuration, and integration patterns.
Other: Perform daily functions as needed or in the absence of department employees.
Adhere to and support the company’s Values, Mission, and Vision.