Data Engineer

Preferred Credit, Inc.

$82K — $102K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or equivalent experience
  • 3-4 years of total data engineering experience
  • 1-2 years of hands-on experience with Microsoft Fabric
  • Proficient in PySpark and/or Python for data transformation
  • Strong T-SQL skills and knowledge of relational database concepts

Responsibilities

  • Design and build data ingestion pipelines into Fabric
  • Develop medallion architecture transformations using PySpark notebooks
  • Implement data quality checks across pipeline layers
  • Provide off-hours support for pipeline failures or critical issues
  • Translate on-premises ETL logic into Fabric-native pipelines

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Annual discretionary bonus
  • Paid maternity and paternity leave
  • 401(k) match up to 5%
  • Tuition reimbursement and student loan match program
Full Job Description
Data Engineer

Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements.

SCHEDULE: Full-Time, Monday-Friday, 8:00am-5:00pm

COMPENSATION: Starting Pay $82,000 - $102,500 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.)
WHAT YOU'LL DO
  • Design and build ingestion pipelines from on-premises SQL Server and other source systems into Fabric using Mirroring, Copy Activity/Data Factory pipelines, and Fabric Notebooks.
  • Develop and maintain medallion architecture (Bronze, Silver, Gold) transformations using PySpark notebooks and dbt (Data Build Tool).
  • Implement schema evolution handling, watermark-based incremental loads, and data quality checks (row count drift, freshness, referential integrity) across pipeline layers.
  • Available for off-hours support as needed to address data pipeline failures or critical issues impacting production data 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.
WHAT WE'RE LOOKING FOR

Must-Have Qualifications:
  • BS in Computer Science or equivalent program or equivalent experience
  • 3-4 years of overall data engineering experience, with 1-2 years (minimum) of hands-on experience in Microsoft Fabric
  • Proficiency in PySpark and/or Python for data transformation and pipeline development
  • Strong T-SQL skills and understanding of relational database and dimensional modeling concepts

Nice to have but not Required!
  • Experience with DBT (Data Build Tool)
  • Exposure to MS Azure resources (e.g.-Functions, Eventhub etc.)
  • Experience with Power BI including semantic layer models
  • Familiarity with Azure DevOps, Git-based version control, and CI/CD pipelines
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
COMPETITIVE COMPENSATION & BENEFITS
  • Starting Pay: $82,000 - $102,500 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.

PCI offers competitive and comprehensive benefits including medical, dental, vision, short-term disability, long-term disability, and voluntary benefits.

Additional Perks that Go the Extra Mile:
  • 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
HOW TO APPLY

It only takes a couple minutes! Submit your resume on our website atpreferredcredit.com/careers.

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