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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Marquette University - **Location:** United States - **Experience:** Experienced - **Contract:** Voluntary work - **Skills:** Application Programming Interfaces (APIs), Airflow, Databases, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, R (Programming Language), Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Windows PowerShell, Power BI, Software Engineering, SQL Server Integration Services, Talend, Scripting, Freeform SQL, Informatica Powercenter, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Data Delivery, Data Pipelines - **Published:** May 20, 2026 - **Apply:** https://employment.marquette.edu/postings/24851 ## About the Role Bachelor's degree in Information Technology, Computer Science, or a related field; or comparable experience. Minimum of 3 years' experience in data analytics or data solutions Demonstrated experience writing complex SQL queries and designing reporting data sets for business intelligence applications Demonstrated experience managing and working with common databases (SQL Server, Oracle, MySql, etc.) Previous workplace experience utilizing reporting and visualization tools to develop and publish business reports Demonstrated experience with scripting language (Python, R, PowerShell, or others). Strong Analytical and problem-solving skills Demonstrated continuous improvement mindset Excellent communication and collaboration skills Preferred Knowledge, Skills and Abilities Experience with Microsoft BI tools. Experience with an ETL tool like SSIS, Informatica, Talend, etc. Experience with MLOps pipelines (DVC, Airflow, etc.) Experience with API data integrations Proficient knowledge of Python and experience building customized data pipelines ## Description The Data Engineer is responsible for the comprehensive data and reporting infrastructure at Marquette. This role involves developing and maintaining data solutions, including an enterprise data warehouse, data visualization, and operational reporting. Responsibilities include end to end solution architecture, database administration, converting customer requirements into BI applications, and providing technical support and training. The Data Engineer works directly with customers to deliver end-to-end data solutions, provides on-call support, and implements process improvements to enhance data delivery and efficiency Duties and Responsibilities 1. Develop, maintain and monitor data analytic solutions, including the data warehouse, data visualization tools and operational reporting solutions. 2. Responsible for end-to-end solution architecture and development, from modeling database tables and writing custom ETL code to improving indexing and developing testing modules. 3. Work directly with units on campus to understand their data needs and convert complex requirements into sound business intelligence applications within the BI environment. Provide technical support and training to users on data-related issues. 4. Database administration including regular monitoring, server setup, security provisioning and maintaining a secure database environment to support reporting efforts. 5. Identify, design and implement internal process improvements to enhance data delivery and automate manual processes. Research and integrate new technologies and software engineering tools to reduce complexity, increase capacity and improve overall efficiency ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)