Data Engineer Hybrid St.Paul MN or Naperville, IL

Ecolab

Ecolab, a global leader in sustainability services, is looking for a Data Engineer. This role is part of a dynamic team that leverages cutting-edge AI to improve operational efficiency in restaurants. The team offers the agility of a startup with the support of a global leader, making significant impacts on operations and sustainability.

In this role you can expect to have the responsibilities:

• Develop and maintain Databricks workspaces and ETL scripts for data ingestion.
• Create Azure Data Factory pipelines for integrating data with various applications.
• Aggregate analyses for exporting results from Databricks experiments.
• Develop web visualizations to effectively communicate data insights.
• Collaborate with teams to gather system requirements for new features.
• Participate in architectural and technical decision-making and code reviews.
• Implement version control and CI/CD practices for application quality.
• Contribute to new solution creation and optimize existing ones for performance.

This role comes with the following benefits:

• Comprehensive and market-competitive benefits

This role requires you to have:

• Bachelor's in Computer Science, Engineering, or related field
• Experience in data engineering, particularly with Databricks and Azure Data Factory
• Proficiency in writing SQL and cloud data storage solutions
• Understanding of ETL processes and data modeling
• Familiarity with Git and CI/CD practices
• Problem-solving skills and attention to detail
• Excellent communication and teamwork abilities

You would benefit from having:

• Experience with early-stage product development
• Familiarity with machine learning and predictive modeling
• Experience with large datasets and data architecture practices
• Adaptability in dynamic environments and willingness to learn

Ecolab is committed to diversity and inclusion, offering equal opportunities for all associates. They provide reasonable accommodations for disabilities and comply with EEO and Affirmative Action principles.