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Data Engineer

Job in Grand Rapids, Kent County, Michigan, 49528, USA
Listing for: LMCU
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Primary

Location:

Grand Rapids, MI

Employee Status:
Full-Time

Workplace Type:
Hybrid – In office 2-3 days per week

Who we are: At LMCU, you’ll find more than just a job – discover a fulfilling career where your contributions truly matter. Join our talented team at Lake Michigan Credit Union and discover the difference an employer who puts people first can make in your career and life.

About this position: The Data Engineer is responsible for designing, building, and maintaining data pipelines and models that enable analytics and operational reporting across LMCU. This role supports the organization’s data modernization and governance initiatives by ensuring data is accurate, consistent, and optimized for consumption. The engineer collaborates with business and technical teams to deliver trusted data assets that drive member insights and strategic decision-making.

What you’ll do:

  • Develop and maintain ETL/ELT processes for data integration and transformation.
  • Ensure pipelines are efficient, scalable, and aligned with business requirements.
  • Build and optimize data models for analytics consumption using best practices.
  • Apply modeling techniques such as Star Schema, Snowflake Schema, and Medallion Architecture for Lakehouse design.
  • Work with business stakeholders to understand requirements and translate them into technical solutions.
  • Partner with data stewards and governance teams to align engineering with EDG standards.
  • Monitor pipeline performance and resolve issues promptly.
  • Document workflows and maintain transparency for operational efficiency.

What you’ll bring:

  • 3–5 years of experience building and maintaining ETL/ELT data pipelines.
  • Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field.
  • Experience designing scalable data models using Star, Snowflake, or Medallion architectures.
  • Strong SQL and Python skills for data engineering and automation.
  • Familiarity with Lakehouse principles and platforms like Microsoft Fabric.
  • Experience with orchestration tools (e.g., Data Factory, Airflow, Five Tran).
  • Ability to monitor, troubleshoot, and optimize pipeline performance.
  • Understanding of metadata management, lineage, and data governance practices.
  • Strong collaboration skills to translate business needs into technical solutions.
  • Ability to work with data stewards and governance teams to meet EDG standards.
  • Proven documentation skills to maintain clear and transparent workflows.
  • Knowledge of tools like Collibra, Atlan, or Precisely; relevant certifications a plus.

What you’ll get:

  • All Employees: weekly pay and retirement savings options.
  • Full Time Employees: comprehensive health coverage including medical (with prescription), dental, vision, HSA match, paid parental leave, and tuition reimbursement.
  • To see a full list of our benefit offerings, check out this helpful guide!

Have additional questions about the role? Email the Talent Acquisition Team at:
Careers . If you lack access to the internet or require an accommodation in the application process, please send your resume via mail to 5664 Prairie Creek Drive, Caledonia, MI 49316.

LMCU is an Equal Opportunity Employer

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