Data Engineer

Data Integration EngineerDesign, develop, and maintain the data pipelines, integration patterns, and data structures that support ESC Region 13 reporting, interoperability, software platforms, and artificial intelligence initiatives. Provide technical expertise in data integration, data quality, metadata, dashboards, and analytics enablement to support both internal decision making and external project delivery. This position plays a central role in the Data Task Force initiative by helping create the data lake foundation, reducing data silos, and improving the quality and accessibility of information across systems. The role also supports district and project-based solutions such as Pulse, CIS NAV, dashboards, reporting tools, and future data and AI service offerings.Required Qualifications:Bachelor's degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related fieldTwo years of experience in data integration, data engineering, business intelligence, analytics, or systems analysisExperience with SQL, data transformation, and structured data managementExperience working with data from multiple source systems and supporting reporting or analytics needsAbility to document data flows, troubleshoot data issues, and support technical solutions in a production environmentPreferred Qualifications:Experience building ETL or ELT pipelines and working with cloud-based data platformsExperience with Python, Power BI, APIs, dashboard development, or automation toolsExperience with data governance, metadata management, and data quality monitoringExperience supporting public sector, education, or student information system environmentsExperience with AI related data preparation, interoperability initiatives, or application supportCertifications or training related to data analytics, cloud data services, Power BI, SQL, or related toolsKnowledge/ Skills:Data Engineering and IntegrationStrong understanding of data extraction, transformation, loading, data modeling, and relational data structuresAbility to build and maintain pipelines that connect multiple systems and reduce reporting silosFamiliarity with APIs, data exchange patterns, and interoperability conceptsKnowledge of cloud platforms including Microsoft Azure and AWS. Experience administering Windows Server and Linux server environments.Analytics and Reporting SupportSkilled in SQL and dashboard support for operational and executive reportingAbility to organize data in ways that support reliable analytics, performance measurement, and decision intelligenceKnowledge of data quality controls, validation methods, and reconciliation practicesGovernance and AI EnablementUnderstanding of data governance, metadata discipline, and the importance of trusted datasets for responsible AI useAbility to support data structures that enable reporting, software platforms, automation, and AI related workflowsCollaboration and CommunicationStrong ability to work across departments, technical teams, and project groups to translate operational needs into data solutionsStrong documentation, problem solving, and customer service skillsAbility to manage multiple concurrent technical projects.Major Responsibilities:Design, build, and maintain data pipelines, integration workflows, and transformation processes across Region 13 systemsSupport the development of a data lake and related data architecture for the Data Task Force initiativeImprove interoperability and reduce data silos by connecting operational systems and standardizing data structuresSupport dashboards, analytics, and recurring reporting for leadership and program teamsMaintain documentation of data sources, flows, business rules, and transformation logicSupport data quality validation, reconciliation, and troubleshooting activitiesCollaborate with developers, infrastructure staff, and program teams to support Pulse, CIS NAV, dashboards, and related software initiativesContribute to AI enablement by preparing governed and structured data for automation, analytics, and intelligent toolsSupport external or district facing initiatives that depend on analytics, interoperability, dashboard development, or data driven applicationsPromote continuous improvement in data management, reporting reliability, and technical documentationSupervisory Responsibilities: No direct supervisory responsibilitiesBudget Responsibilities: NoneWorking Conditions:Must be able to work in a fast-paced environment with multiple competing priorities Indoor office environment with some remote work flexibility Occasional evening or weekend work may be required for data loads, system maintenance, or project deadlines Some travel within the region may be required for project support, stakeholder meetings, or district coordinationEquipment Used: Computer, peripherals, and general office equipment Database tools, reporting platforms, data integration tools, scripting tools, and collaboration systems Cloud data services, dashboard tools, and software development or support platforms