This MS Fabric Data Engineer role in Central Minnesota offers a hybrid work setup, a competitive salary range, and a comprehensive benefits package designed to support your wellbeing and growth. You will design and implement scalable data pipelines, advance a Medallion architecture, and drive the SQL Server to Microsoft Fabric migration using PySpark, dbt, and Power BI. The position pays $82,000 – $102,500 per year and includes a wide range of benefits to support you and your family.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Short-term disability
- Long-term disability
- Voluntary benefits
- Annual Discretionary Bonus
- Earned Safe & Sick Time (ESST)
- Paid Maternity & Paternity Leave
- Paid Time Off (PTO) & 8 Paid Holidays
- Donation Matching & Paid Volunteer Time
- 401(k) Match – 100% of your deferrals up to 5%
- Tuition Reimbursement & Student Loan Match Program
Starting pay: $82,000 – $102,500 per year. Final offers are determined by experience, location, and qualifications.
Location & Work Setting
Office address: 628 Roosevelt Rd, St. Cloud, MN 56301
Schedule: Full-Time, Monday–Friday 8:00am-5:00pm CST
Work setting: Hybrid
Residency requirement: Must be in Central MN and have a reasonable commute to St. Cloud due to in-office requirements.
Responsibilities
- Design and build ingestion pipelines from on-premises SQL Server and other sources into Fabric using Mirroring, Copy Activity/Data Factory pipelines, and Fabric Notebooks
- Develop and maintain the medallion architecture (Bronze, Silver, Gold) transformations with PySpark notebooks and dbt
- Implement schema evolution handling, watermark-based incremental loads, and data quality checks across pipeline layers
- Provide off-hours support as needed to address data pipeline failures or critical issues impacting production systems
- Translate existing on-premises stored procedures and ETL logic into Fabric-native pipelines and dbt models as part of the SQL Server to Fabric migration
- Identify and remediate data pipeline failures, performance bottlenecks, and capacity constraints within Fabric capacity limits
Requirements
- BS in Computer Science or equivalent program or equivalent experience
- 3 to 4 years of overall data engineering experience, with 1 to 2 years minimum hands-on work in Microsoft Fabric
- Proficiency in PySpark and/or Python for data transformation and pipeline development
- Strong T-SQL skills and understanding of relational databases and dimensional modeling concepts
Technologies
- Microsoft Fabric
- PySpark
- Python
- dbt (Data Build Tool)
- Power BI
- SQL Server
- Azure Data Factory
- Fabric Notebooks
- T-SQL
- Azure DevOps
- Git
Who will shine in this role
- You want to build modern data solutions using Microsoft Fabric and have a measurable impact on enterprise data
- You are analytical, collaborative, and passionate about data engineering
- You enjoy designing and optimizing data pipelines and supporting migration projects from SQL Server to Fabric
How to apply
It only takes a couple minutes. Submit your resume on our website at preferredcredit.com/careers.
