> Markdown version of [/jobs/ext/3572360-data-engineer](https://www.wearedevelopers.com/jobs/ext/3572360-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). --- # Data Engineer - **Company:** Insight Global - **Location:** Warren, MI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Python (Programming Language), Cloud Services, SQL Databases, Data Streaming, Systems Integration, Azure Data Factory, Apache Spark, Deployment Automation, Apache Kafka, Data Pipelines, Databricks - **Published:** October 3, 2026 - **Apply:** https://dejobs.org/x/x/9288719948574454BF25B6E6FDE524E8/job/ ## About the Role 3+ years of experience as a data engineer Experience designing ETL pipelines and using databricks Experience with Python, SQL, Databricks, Azure Data Factory, or Apache Spark; data integration and orchestration; relational and cloud data platforms; streaming or messaging tools such as Kafka; data quality frameworks; and infrastructure or deployment automation. ## Description Design, develop, and maintain reliable data pipelines and integration services that support the MIE applications. Establish data quality controls, enable governed data access, and help build the platform capabilities required for scalable analytics and AI/ML use cases. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [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) - [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [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)