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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer I - **Company:** The Job Center - **Location:** Crystal, MN, United States - **Experience:** Starter - **Salary:** $83,000.0 - $87,000.0 - **Contract:** Internship / Graduate position - **Skills:** Sql Data Warehouse, Microsoft Excel, Airflow, Big Data, Cloud Database, Data Architecture, Data Validation, Data Cleansing, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Systems, Data Visualization, Relational Databases, Database Storage Structures, Document-Oriented Databases, Python (Programming Language), Microsoft Office, Raw Data, Power BI, Standard Sql, SQL Databases, Systems Integration, Tableau (Software), Snowflake, Git, Information Technology, Data Analytics, Plotly, Software Version Control, Data Pipelines - **Published:** September 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18469142?backUrl=%2Fcareer%2F18469142%2FData-Engineer-I-Minnesota-Minneapolis ## About the Role * 2+ years of hands-on experience programming in Python and SQL, including modifying and maintaining existing code. * Strong understanding of relational databases and practical experience working with a cloud data warehouse such as Snowflake. * Experience developing and maintaining ETL/ELT pipelines, including data extraction, transformation, loading, and validation. * Experience designing and implementing SQL tables, views, queries, and data transformations. * Experience using Git or another version control system. * Familiarity with Microsoft Office 365, especially Excel. * Ability to troubleshoot data and code issues systematically and independently. * Strong attention to data quality, accuracy, and reproducibility. * Strong motivation and interest in applying data and technology to energy efficiency and sustainability sectors. * Ability to work independently and collaboratively in a fast-paced, dynamic environment., * Bachelor's degree in computer science, analytics engineering, data analytics, data science, or a related field, or equivalent professional experience. * Minimum of 0-2 years of experience in a data engineer or similar role related to data analytics, data engineering, statistics, or a related technical field; internship, co-op, academic project, or applied business experience may be considered. * Foundational SQL skills * At least one analytical or statistical programming language such as Python * Experience using Git or another version control system. Preferred Qualifications * Experience with data visualization tools such as Tableau, Power BI, Plotly Dash. * Experience with workflow orchestration tools such as Prefect, Airflow, or similar platforms is preferred. * Excellent written and verbal communication skills, interpersonal skills, and ability to craft clear and compelling deliverables. * Strong organizational and time management skills, with the ability to prioritize tasks and manage multiple projects. * Ability to work effectively in cross-functional teams and on a variety of tasks. * Basic knowledge or interest in energy efficiency and decarbonization is a plus. *** Cover Letter Encouraged. ## Description * Support the development and implementation of the team's data architecture, including processes for managing, integrating, and maintaining datasets provided by external partners. * Write, modify, and maintain Python ETL scripts and SQL data models to automate, scale, and optimize data processing workflows. * Build and maintain repeatable processes to combine raw data from multiple sources into clean, searchable datasets housed in cloud data warehouses. * Develop, maintain, and monitor automated data workflows using Prefect or similar workflow orchestration tools, including scheduling, task dependencies, error handling, and troubleshooting. * Develop and implement data validation and QA/QC processes to monitor data integrity, identify discrepancies, and improve data quality. * Troubleshoot and resolve issues across data pipelines and ETL, investigate discrepancies, and work with team members to identify and implement solutions. * Work closely with Energy and Data Analysts to build and enhance data solutions, including interactive dashboards using tools such as Plotly Dash and Power BI, that support analysis, reporting, and decision-making. * Respond to ad hoc data and reporting requests from internal teams, making changes to database structures, schemas, tables, views, queries, and dashboards as needed. * Use Git and established version control practices to manage code changes and collaborate with team members. * Contribute to the continuous improvement and automation of the team's data workflows and infrastructure. Facilitate conversations with cross-functional teams to understand reporting, data intake, and data cleaning needs; build queries and views to support these needs. * Maintain, clean, and organize large datasets and repositories to ensure data integrity and accessibility. * Document data processes, transformations, and workflows to improve maintainability and knowledge sharing. * Conduct quantitative analysis to support program evaluation and measure performance. * Contribute to cross-functional projects and assist in the development of technical documentation and deliverables. Work closely with engineering, research, and program teams to support technical analysis and program implementation. 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