Senior Data Engineer

Title: Senior Data Engineer

Primary Location:  Grand Rapids

Employee Status: full-time, exempt

Estimated Hours/Week:  38

Remote:  Yes - hybrid

What You’ll Get: (note varied offerings based on role and hours) 

• Weekly Pay 

• Comprehensive Health & Wellness package including Medical (with prescription coverage), Dental, and vision 

• Matching Health Savings Account Contributions, Dependent Care flexible spending account (FSA) 

• Retirement options like 401 (k) with company match and pension. 

• Paid time off: Vacation, Personal days, paid holidays, paid volunteer time, sick days, & flex time. 

• Tuition reimbursement 

• To see a full list of our benefit offerings – check out this helpful guide!

About this position: 

LMCU is looking for a Senior Data Engineer who will be responsible for designing, building, and maintaining data models and pipelines that support our business needs and enable self-service analytics. This role requires a deep understanding of data engineering principles and best practices, as well as the ability to work with various technologies and tools.

What you’ll do: 

• Design, build, maintain, and optimize data models aligned to business needs, providing harmonized models ready for consumption. Support data integration, data migration, and data modeling.

• Extract, transform, and load data from various sources. Monitor and troubleshoot data pipelines to ensure optimal performance.

• Collaborate with cross-functional teams to understand Business requirements and translate them into technical solutions.

• Ensure data quality and consistency across all data models and pipelines.

• Assist in preparing data models for self-service analytics.

What You’ll Bring:

• 7+ years of experience in data engineering and working with data pipelines.

• Bachelor's degree in computer science, information technology, or a related field.

• Relevant certifications in data engineering or cloud platforms are preferred.

• Proven experience in data engineering and working with data pipelines and proficiency in ETL & ELT Processes.

• Experience with data orchestration tools such as Fabric Data Factory, FiveTran, Airflow or AWS Glue.

• Familiarity with data governance and cataloging tools like Purview, Atlan, Alation, Collibra, Informatica, or Precisely Data Integrity Suite.

• Strong knowledge of data modeling techniques such as Kimball, Medallion, Inmon, Star Schema or Snowflake Schema.

• Knowledge of programming languages such as Python and SQL

• Understanding of data Lake / Lakehouse technologies such as OneLake, DataBricks, Snowflake, BigQuery, and Redshift.

Who We Are: 

We’re proud of our past, thrilled with our present, and couldn’t be more excited about our future! Lake Michigan Credit Union has grown to become one of the largest credit unions in the nation with our headquarters in West Michigan.

As a credit union, LMCU is a not for profit institution, owned by its members, instead of corporate stock holders. We are accountable directly to our members, and they directly share in our success – benefitting by lower and fewer fees, better savings and checking interest rates, lower cost mortgages and a host of other advantages that simply don’t exist at traditional banks.

It’s about always doing what’s best and right for our member