Data Science Engineer
Detroit, MI, United States • Posted June 10, 2026
Job Type:
Full-time
Location:
Detroit, MI
Posted:
June 10, 2026
Category:
other-general
Application Deadline:
June 15, 2026
Role Description
Job Title: Data Engineer with Data Science Experience
Job Description
We are seeking a skilled Data Engineer with a strong background in data science to design and maintain large-scale data pipelines using Databricks or similar big data platforms. This engineering-first role focuses on creating scalable and reliable data architecture that supports high-quality analytics and facilitates the integration of AI and machine learning workloads. You will collaborate with product and engineering teams to transform complex data into production-ready assets.
Responsibilities
+ Develop scalable data pipelines using Databricks, PySpark, and cloud-native tools to ingest, clean, and transform large time series datasets.
+ Design and maintain data models optimized for analytical and machine learning workloads.
+ Build, train, and evaluate machine learning models for forecasting, anomaly detection, and pattern recognition in time series data.
+ Collaborate ...
Job Description
We are seeking a skilled Data Engineer with a strong background in data science to design and maintain large-scale data pipelines using Databricks or similar big data platforms. This engineering-first role focuses on creating scalable and reliable data architecture that supports high-quality analytics and facilitates the integration of AI and machine learning workloads. You will collaborate with product and engineering teams to transform complex data into production-ready assets.
Responsibilities
+ Develop scalable data pipelines using Databricks, PySpark, and cloud-native tools to ingest, clean, and transform large time series datasets.
+ Design and maintain data models optimized for analytical and machine learning workloads.
+ Build, train, and evaluate machine learning models for forecasting, anomaly detection, and pattern recognition in time series data.
+ Collaborate ...
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