Senior Data Engineer III: ML-Powered Pipelines (Hybrid)

Grainger; Lake Forest (IL); Hybrid; USD 74,000 - 123,400; Full time

Benefits offered by this job

Medical, dental, and vision insurance

18 paid time off days

6% company contribution to 401(k)

Job summary

Grainger is seeking a Data Engineer III to support the Machine Learning Engineering team in Lake Forest, IL. This hybrid role involves developing scalable data pipelines and improving data delivery processes to support analytics and machine learning initiatives.

Ideal candidates should have a Bachelor's Degree, 3+ years of relevant experience, and be proficient in tools like Python, AWS, and SQL. The position comes with competitive compensation and comprehensive benefits.

Qualifications

• 3+ years hands-on experience with Modern Data Engineering projects and practices.
• Experience building data products for Data Science use cases.
• Successful track record in developing automated data engineering systems.

Responsibilities

• Deliver high-quality, trusted, and scalable data pipelines.
• Develop next-generation micro-services to mature a data-driven culture.
• Identify and design process improvements for greater scalability.

Skills

Data Engineering

AWS

Python

SQL

Kubernetes

Airflow

Machine Learning

Education

Bachelor's Degree or equivalent experience

Tools

Airflow

Kafka

Spark

Docker

Snowflake

Job description

Grainger is seeking a Data Engineer III to support the Machine Learning Engineering team in Lake Forest, IL. This hybrid role involves developing scalable data pipelines and improving data delivery processes to support analytics and machine learning initiatives.

Ideal candidates should have a Bachelor's Degree, 3+ years of relevant experience, and be proficient in tools like Python, AWS, and SQL. The position comes with competitive compensation and comprehensive benefits.