Senior Data Engineer

Description We are looking for an experienced Senior Data Engineer to join our team in Woodbury, Minnesota. In this role, you will play a key part in designing and optimizing data systems, ensuring scalability and reliability for business-critical operations. The ideal candidate will have a strong background in data engineering and a passion for leveraging technology to drive impactful solutions.

Responsibilities:

• Redesign and optimize complex business logic embedded in Postgres functions to improve functionality.
• Develop scalable database schemas and create data models that are optimized for analytics and AI applications.
• Implement database partitioning, indexing, and performance tuning to ensure data growth is supported efficiently.
• Build and maintain production-grade data pipelines from data ingestion to end-user consumption.
• Establish robust processes for data quality assurance, monitoring, and operational reliability within pipelines.
• Troubleshoot and resolve data-related and performance issues directly in production environments.
• Collaborate with cross-functional teams to ensure seamless integration of data systems into business processes. Requirements
• Minimum of 7 years of experience in data engineering or backend engineering roles.
• Proven expertise in working with Postgres in production environments, including advanced database management.
• Demonstrated ability to modernize and refactor legacy database-centric systems.
• Proficiency in Python or other programming languages commonly used in data engineering.
• Solid experience with Microsoft Fabric and its application in data workflows.
• Familiarity with tools like Apache Spark, Hadoop, Kafka, and ETL processes.
• Strong knowledge of designing and managing scalable data pipelines.

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