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GreenState Credit Union Linkedin · Posted 2mo ago

Data Engineer

North Liberty, Iowa, United States

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GreenState Credit Union

Data Engineer

US-IA-North Liberty

Job ID: 2026-4554
Type: Exempt Full-Time
# of Openings: 1
Category: Information Technology
Work From Home

Overview

INFORMATION TECHNOLOGY:
GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable.
 
The Data Engineer is responsible for designing, developing, and maintaining complex data solutions, with an emphasis on Microsoft Azure pipelines. This role will develop robust data pipelines to produce enterprise-wide data assets to support data initiatives.
 
GREENSTATE CULTURE:
At GreenState, our purpose is to create lasting value for our members, our communities, and one another. We empower our teams to create opportunities that strengthen financial well-being, transform lives, and enhance the vitality of the communities we serve. We know our success—now and in the future—is deeply rooted in fostering an engaging, diverse, and inclusive workplace where everyone knows they matter, their work makes an impact, and their everyday commitment to living our values is what brings our mission to life.  
 
Salary range for this position is $119,078.70 - $139,216.74 with a progressive benefit package. 

Responsibilities

Performs essential duties and responsibilities in the following areas which may include but are not limited to those listed and are subject to change.

  • Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision.
  • Demonstrates a positive member service (internal and external) focus at all times.
  • Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities.
  • Ensures confidentiality of member information.
  • Supports a diverse and inclusive work environment.
  • Develops comprehensive data pipelines using Azure Data Factory, Power BI and other tools
  • Creates advanced data models and ETL processes across multiple enterprise systems
  • Implements data governance and quality control mechanisms
  • Designs and maintains complex data transformations using languages such as Python, Spark, SQL, M, DAX and more
  • Develops, maintains and optimizes data solutions
  • Collaborates with business stakeholders to translate complex business requirements into technical solutions
  • Performs advanced data cleansing and preparation techniques
  • Supports performance optimization of business units’ solutions
  • Strong attention to detail
  • Ability to take initiative and solve problems independently
  • Maintains excellent communication with the Credit Union team and the rest of the organization.
  • Plays a vital role in enriching the community by participating in community service organizations and/or credit union sponsored events, on an annual basis.
  • Performs other duties as assigned.

  • Qualifications

  • Bachelor's Degree in Computer Science, Data Engineering, or related field
  • 4 to 6 years of experience in data engineering and business intelligence
  • Advanced proficiency in:
    • ETL processes, specifically in Azure cloud services
    • Power BI
    • Python
    • SQL
  • Strong understanding of data modeling and warehouse design
  • Experience with cloud data architectures
  • Excellent analytical and problem-solving skills
  • Financial services industry experience preferred
  • Reporting Relationship
    This position reports to the Data & Analytics Director.

    Supervisory Responsibilities
    This position is not responsible for the supervision of others.

    Equal Opportunity Employment Statement
    GreenState Credit Union is an EEO/AA Employer. We strongly encourage all individuals to apply for openings with the credit union. #ID

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