> Markdown version of [/jobs/ext/2056781-remote-milwaukee-data-engineer](https://www.wearedevelopers.com/jobs/ext/2056781-remote-milwaukee-data-engineer). 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). --- # (Remote, Milwaukee) Data Engineer - **Company:** Harris Computer Systems - **Location:** Milwaukee, WI, United States (Remote available) - **Experience:** Experienced - **Salary:** $80,000.0 - $90,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Big Data, Cloud Database, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Raw Data, Power BI, Apache Spark, Microsoft Fabric, Pyspark, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** August 14, 2026 - **Apply:** https://harriscomputer.wd3.myworkdayjobs.com/1/job/Wisconsin-United-States/Data-Engineer_R0040261-2 ## About the Role * 4-6 years of experience with Microsoft Fabric (or similar platforms like Azure Synapse or Databricks). * Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. * Proficiency in languages such as Python or Spark/PySpark. * Experience with Azure services and cloud-based data solutions. ## Description A division of Harris, ConnectureDRX is seeking a Data Engineer. The Data Engineer role will be responsible for the foundational data infrastructure of ConnectureDRX's Active Analytics platform. They'll build the pipelines that move and transform the raw data into a usable format for the data analysts and Power BI developers. They'll be a key resource in building the Microsoft Fabric data lakehouse as well as developing key processes to make data usable by the organization and customers. This is a remote role. Preference will be given to candidates in the Milwaukee or Wisconsin area. What your impact will be: * Design, build, and maintain robust data pipelines for ingesting and processing large datasets. * Develop and optimize data lakehouse solutions within the Microsoft Fabric platform. * Ensure data quality, accuracy, and security across all data sources. * Collaborate with data analysts to understand data needs and provide a reliable data foundation. * Troubleshoot and resolve data-related issues in a timely manner. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)