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Esri

Data Engineer

Esri

Data Engineer developing and executing Summit Credit Union's data strategy. Collaboration to ensure data accuracy, security, and insights for decision-making.

Posted 7/4/2026full-timeCottage Grove • Wisconsin • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Develop and execute Summit Credit Union's enterprise data strategy to support business and technology objectives.
  • Design, build, and maintain data architectures, databases, data models, and integration solutions that enable scalable and reliable data management.
  • Partner with business leaders, developers, engineers, and IT teams to understand data needs and deliver solutions that drive business value.
  • Establish and maintain data governance practices that ensure data quality, consistency, security, and regulatory compliance.
  • Analyze complex datasets to identify trends, answer business questions, and support informed decision-making.
  • Leverage historical data and analytics to develop insights and predictive models that support future business outcomes.
  • Recommend and implement data tools, technologies, and best practices to improve data capabilities and operational efficiency.
  • Develop and monitor key performance indicators (KPIs) and metrics related to data consumption, integration, and utilization.
  • Ensure data is protected against unauthorized access while remaining accessible to authorized users.
  • Exercise independent judgment when evaluating technologies, data solutions, and business opportunities.
  • Communicate technical concepts and insights effectively to both technical and non-technical audiences, including senior leadership.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Data Analytics, Business Analytics, or a related field.
  • 8 years of experience in data management roles or an equivalent combination of education and relevant experience.
  • Working knowledge of cloud architecture and modern data management practices.
  • Strong technical skills in data analytics, database design, and data modeling.
  • Knowledge of data governance, data integration, and enterprise data management practices.
  • Experience with business intelligence and analytics tools.
  • Ability to analyze and interpret complex datasets and translate findings into actionable business insights.
  • Excellent problem-solving skills and the ability to identify innovative solutions using new technologies and methodologies.
  • Strong project management skills with the ability to prioritize work and meet deadlines.
  • Ability to exercise independent judgment when recommending technologies and business solutions.
  • Excellent verbal and written communication skills with the ability to effectively engage both technical and non-technical stakeholders at all organizational levels.

Benefits

Comp & perks
  • An opportunity to influence Summit's enterprise data strategy and help shape the future of data-driven decision-making.
  • Meaningful work that directly supports organizational growth, innovation, and member experience.
  • Collaboration with talented technology, business, and leadership teams across the organization.
  • A culture that values continuous improvement, innovation, teamwork, and professional growth.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data ArchitectureData ModelingData IntegrationPredictive ModelingCloud ArchitectureData ToolsData AnalysisKey Performance IndicatorsData SecurityData Quality
Soft Skills
Problem-SolvingProject ManagementCommunication