Data Engineer I

Data Engineer I A Data Engineer I works alongside senior Data Engineers, Information Architects, Data Scientists, and other stakeholders to design and maintain small to moderate data models. The Data Engineer I is responsible for day-to-day monitoring and maintaining small to medium-scale databases that support web applications and other digital services. The Data Engineer I is responsible for supporting reports that provide accurate and timely data for internal and external clients. The incumbent will assist with advancing a data infrastructure that powers our ability to make timely and data-driven decision. This role requires an entry-level familiarity of data architecture and extraction & manipulation of data sets of small to medium sizes. Position Responsibilities: Design and Methodology Perform day-to-day monitoring of critical business flows and take ownership of triaging incidents. Create and maintain data tables in data analysis tools (i.e., Informatica, Snowflake). Utilize data from multiple cloud sources and develop/maintain dashboards. Review existing code to ensure performance and reliability of data extraction and processing. Review data products for analytics and Data Scientist team members to improve their productivity. Update and optimize local and metadata models. Document and test small to moderate data systems that bring together data from disparate sources. Manage existing pipelines from a variety of sources (relational, XML, etc.) Review and maintain solutions to track data quality, stabilize data pipeline, etc. to ensure reliable operations. Test data processes including performance of through data validation and verification. Technical Consulting Work with development teams to create conceptual data models and data flows. Review modifications of existing systems for cross-compatibility. Evaluate implemented data systems for variances, discrepancies, and efficiency. Participate in data quality initiatives and troubleshooting. Participate in sprint planning meetings as needed. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Optimize support for ad-hod analysis across various data sources. Planning & Organizing Ensure best practices are followed across architecture, codebase, and configuration. Review and make recommendations for ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. In collaboration with the senior level Data Engineers, contribute to the exploration and understanding of new tools and techniques for improvements to the data pipeline. Risk Management Review and are familiar with automated processes for performance and fault tolerance. Review functional and technical designs to build familiarity of risk and any missing requirements. Review security measures to protect data from unauthorized access or misuse. In collaboration with senior level Data Engineers, design backup and recovery procedures to ensure data integrity is maintained. Administration/Support Keeps management informed of status of on activities through accurate, timely, and appropriate reporting. Contribute to Data Governance, system documentation and sharing of data asset knowledge. Actively participates in committees representing the department and/or planning unit. Keeps abreast of leading-edge technologies in the Data Engineering space. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled