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# Data Integration Developer

- **Company:** Touchstone Energy Cooperative, Inc.
- **Location:** Sierra Vista, AZ, United States
- **Experience:** Experienced
- **Salary:** $100,016.0 - $111,130.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Data Governance, Data Infrastructure, Data Integration, Decision Support Systems, Power BI, Systems Integration, Enterprise Data Management, Advanced Reports, Data Management, Tools for Reporting, Data Pipelines
- **Published:** August 5, 2026
- **Apply:** https://careers.electric.coop/jobs/rss/22477039/data-integration-developer

## About the Role

* Bachelor's degree in a related field and 3-5 years of directly related experience, or an equivalent combination of education and experience.
 * Experience developing data pipelines, models, dashboards, and enterprise reporting solutions that support data governance, quality, analytics, and AI initiatives.
 * Strong analytical, statistical, problem-solving, and data interpretation skills.
 * Ability to communicate technical information and collaborate effectively with cross-functional teams.
 * Microsoft Azure Data Engineer, Microsoft Power BI, Security+ or other enterprise data or analytics platform certifications (preferred).

## Description

The Data Integration Developer designs, develops, and maintains enterprise data integrations, reporting solutions, analytics platforms, and AI-ready data environments. This position transforms complex data into reliable, accessible, and actionable information that supports reporting, forecasting, automation, performance measurement, and data-driven decision-making throughout the Cooperative. The role also serves as a lead coordinator for enterprise data and analytics initiatives, working with departments, system owners, vendors, and technical teams to improve data quality, governance, accessibility, and reporting capabilities., * Design, develop, maintain, and optimize data pipelines from enterprise systems.

 * Develop standardized data models, dashboards, reports, metrics, and analytical solutions.
 * Integrate enterprise data across operational, financial, GIS, engineering, and enterprise systems.
 * Maintain data quality through validation controls, reconciliation processes, documentation, and governance standards.
 * Collaborate with departments and technical teams to resolve data, reporting, and system integration issues.
 * Develop AI-ready data environments that support automation, forecasting, analytics, and decision support.
 * Identify opportunities to automate reporting and data processes while providing technical guidance and training on enterprise data and reporting tools.


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