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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Akaasa Technologies - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $60,000.0 - $85,000.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Database, Data Infrastructure, Data Transformation, Distributed Computing Environment, MongoDB, NoSQL, Data Streaming, Data Processing, Azure Data Factory, Data Lakes, Data Analytics, Apache Kafka, Data Management, Data Pipelines, Databricks - **Published:** August 7, 2026 - **Apply:** https://www.careerjet.com/jobad/us066634fbd27ed735ffd98ef63dcc7f87 ## About the Role Note: This position was previously shared with a different location. Candidates must be local to Chicago, IL or Minneapolis, MN and able to work onsite 3 4 days per week., * Strong experience designing and implementing cloud-based data solutions using the Azure ecosystem. * Hands-on expertise with Azure Databricks and Azure Data Factory (ADF). * Experience designing large-scale enterprise data architectures and high-volume data platforms. * Strong knowledge of Kafka for event streaming and distributed data processing. * Proven experience leading large-scale data migration projects. * Hands-on experience with Data Lakes and NoSQL databases, including MongoDB. * Strong understanding of Azure data services for storage, integration, and analytics. * Exposure to AI-enabled data platforms and modernization initiatives. ## Description Our client is seeking a Senior Data Engineer to design, develop, and modernize enterprise-scale data platforms. The ideal candidate will have strong expertise in Azure, Databricks, Azure Data Factory (ADF), Kafka, and large-scale data architecture, along with experience delivering cloud-based data migration and modernization initiatives., * Design and implement scalable cloud-based data solutions using Azure, Databricks, and Azure Data Factory (ADF). * Build and support enterprise data architectures capable of handling high-volume data processing. * Develop and optimize data pipelines for ingestion, transformation, and integration. * Lead large-scale data migration initiatives while ensuring data quality and consistency. * Work with modern data platforms including Data Lakes, Kafka, and NoSQL databases. * Collaborate with cross-functional teams to deliver secure, reliable, and scalable data solutions. * Support AI-enabled data modernization initiatives and intelligent analytics capabilities., Description We are seeking a Senior Transmission Line Engineer who will work as members of a dynamic team working in a fast-paced environment, solving challenging problems involv… + 4 days ago, Description We are seeking a Senior Transmission Line Engineer who will work as a member of a dynamic team working in a fast paced environment, solving challenging problems invol… + 4 days ago + ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)