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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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and executing enterprise data strategies, data governance, and data management practices. Proficient in data analytics, database design, and leveraging data insights to drive business value and operational efficiency.

Highest-signal resume keywords
Data ManagementData GovernanceData AnalyticsDatabase DesignBusiness Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureData ModelingData IntegrationPredictive ModelingCloud ArchitectureData ToolsData AnalysisKey Performance IndicatorsData SecurityData Quality
Soft Skills
Problem-SolvingProject ManagementCommunication
Tools & Technologies
Business Intelligence ToolsAnalytics Tools
Industry Keywords
Enterprise Data ManagementRegulatory ComplianceData ConsumptionData Utilization

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.