Data Engineer

Ecolab is looking for an experienced Data Engineer to be part of a dynamic team that's at the forefront of technological innovation. We're leveraging cutting-edge AI to create novel solutions that optimize operations for our clients, particularly within the restaurant industry. Our work is transforming how restaurants operate, making them more efficient and sustainable.

As a key player in our new division, you'll have the unique opportunity to shape its culture and direction. Your contributions will directly impact the success of our innovative projects and help define the future of our product offerings.  Additionally, you will experience the best of both worlds with this team at Ecolab: the agility and creativity of a startup paired with the stability and resources of a global leader. Our collaborative environment fosters innovation while providing the support and security you need to thrive.

This is a hybrid role based in Naperville, IL, St. Paul, MN, or Eagan, MN.

What’s in it For You

• The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, and healthy environments

• The ability to make an impact and shape your career with a company that is passionate about growth

• The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best

What You Will Do

• Design, implement, and maintain data infrastructure to process and store large-scale vision data sets

• Build automated workflows for data ingestion, transformation, and validation within the Azure ML ecosystem

• Develop monitoring systems and data quality controls for AML pipeline operations

• Create and maintain data asset management strategies within Azure ML workspaces

• Partner with Data Scientists to optimize data preparation workflows for vision model training

• Implement efficient data storage and access patterns using Azure ML datastores

• Establish best practices for pipeline logging, monitoring, and error handling

Minimum Qualifications

• Bachelor's degree in Computer Science or Data Science

• Two (2) years of Data Engineering experience

• Two (2) years of experience programming in YAML and Python

• Experience building automated ML based workflows

• Experience preparing data sets for ML model training

• Immigration sponsorship not available for this role

Preferred Qualifications

• Experience using Azure Databricks

• Experience using Azure Machine Learning (AML) and AML Python SDK

• Experience using Pandas / NumPy

• Building and maintaining AML pipelines

• Proficiency with Azure ML datastores and data asset management

Annual or Hourly Compensation Range

The pay range for this position is $83,600.00 - $125,400.00. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws.

Benefits 

Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits. 

If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here. 

Potential Customer Requirements Notice

To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to:

- Undergo additional background screens and/or drug/alcohol testing for customer credentialing.

- Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.

 

Americans with Disabilities Act (ADA) 

Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.