Senior Software Engineer, Data Platform

Company: W. W. Grainger
Location: Lake Forest
Posted on: February 22, 2025

Job Description:

Location: CHICAGO, IL, US, 60661-4555 LAKE FOREST, IL, US, 60045-5203Work Location Type: HybridAs a leading industrial distributor with operations primarily in North America, Japan, and the United Kingdom, we serve more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers and fostering an engaging culture for team members.Compensation:The anticipated base pay compensation range for this position is $93,800.00 to $156,400.00.Rewards and Benefits:

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist.
• 18 paid time off (PTO) days annually for full-time employees and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts, tuition reimbursement, and free access to financial counseling.
• Maternity support programs and up to 14 weeks paid leave for birth parents.This new team at Grainger is focused on transforming data into reliable and real-time analytics products. You will be building and operating data pipelines that power analytics ranging from key financial reports to production models. You will define the strategy of the team, evaluate, and integrate data patterns and technologies, and build data products alongside domain experts.You Will:
  • Design and implement highly efficient, reusable, and scalable data processing systems and pipelines across the tech stack, including Kubernetes, Databricks, and Snowflake.
  • Implement technical solutions to ensure data reliability and accuracy.
  • Develop data models and mappings and perform exploratory data analysis on existing products and datasets.
  • Educate data engineering teams in adopting new data patterns and tools.
  • Understand trends and emerging technologies and evaluate the performance of potential tools.
  • Work within an Agile delivery / DevOps methodology to deliver product increments.
  • Function as SME within this area when engaging with our AI, Platform, and Business Analytics teams.
  • Mentor junior team members.You Have:
    • 5+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks.
    • 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows or Apache Airflow.
    • 3+ years of experience prepping structured and unstructured data for data science models.
    • 4+ years of experience with containerization and orchestration technologies (Docker, Kubernetes).
    • Experience working with a variety of databases including vector databases, graph databases, relational, and NoSQL.
    • Experience using machine learning in data pipelines.
    • Implemented CI/CD with automated testing in Jenkins or GitHub Actions.
    • Familiarity with AWS or other cloud services.
    • Demonstrated experience implementing data management life cycle, using data quality functions.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.We are committed to fostering an inclusive, accessible environment that includes providing reasonable accommodations to individuals with disabilities during the application and hiring process.
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Keywords: W. W. Grainger, Chicago , Senior Software Engineer, Data Platform, IT / Software / Systems , Lake Forest, Illinois