> Markdown version of [/jobs/ext/3835457-data-automation-engineer-in-mundelein](https://www.wearedevelopers.com/jobs/ext/3835457-data-automation-engineer-in-mundelein). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Automation Engineer in Mundelein - **Company:** Energy Jobline - **Location:** Mundelein, IL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Database, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, DevOps, Python (Programming Language), Power BI, SQL Databases, Systems Integration, Tableau (Software), Workflow Management Systems, Enterprise Data Management, Scripting, Google Cloud, Azure Data Factory, Snowflake, Infrastructure as Code (IaC), Microsoft Fabric, Information Technology, Qlikview, Enterprise Integration, Non-relational Database, Tools for Reporting, Api Design, Data Pipelines, Databricks - **Published:** October 19, 2026 - **Apply:** https://www.energyjobline.com/job/data-automation-engineer-mundelein-31998275 ## About the Role Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. \n 3+ years of experience in data engineering, automation, or data integration roles. \n Strong experience with Python, SQL, and automation scripting. \n Experience developing ETL/ELT pipelines and workflow orchestration. \n Experience with relational and non-relational databases. \n Strong understanding of data modeling, data transformation, and data quality practices. \n Experience working with APIs, file-based integrations, and enterprise data systems., Experience supporting Coast Guard or other government-related programs. \n Experience with cloud platforms such as Azure, AWS, or Google Cloud. \n Experience with Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Apache Airflow, or similar tools. \n Knowledge of DevOps, CI/CD pipelines, and Infrastructure as Code (IaC). \n Experience with Power BI, Qlik, Tableau, or other reporting tools., Strong analytical and problem-solving skills. \n Excellent communication and collaboration abilities. \n Ability to manage multiple projects and priorities. \n Strong attention to detail and commitment to data accuracy. \n Self-motivated with the ability to work independently and in team environments. ## Description We are seeking a skilled Data Automation Engineer to support Coast Guard data modernization and automation initiatives. The ideal candidate will design, develop, and maintain automated data pipelines, workflows, and integration solutions that improve operational efficiency, data quality, and reporting capabilities. This role requires expertise in data engineering, process automation, ETL/ELT development, and cloud-based data solutions., Design, develop, and maintain automated data pipelines and workflows to support business and operational reporting requirements.