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Data Engineer IIW.W. Grainger • Lake Forest, California, United States
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Data Engineer II

W.W. Grainger
  • US
    Lake Forest, California, United States
  • US
    Lake Forest, California, United States
Jetzt Bewerben

Über

Location Lake Forest, IL, US, 60045-5202 Hybrid
Compensation Base pay range: $95,000 – $158,400. Eligible for additional incentives based on individual and company performance objectives.
Rewards and Benefits
Medical, dental, vision, and life insurance plans starting day one of employment.
Six free sessions each year with a licensed therapist.
18 paid time off days annually (accrual prorated based on employment start date) and six company holidays.
Six percent company contribution to a 401(k) Retirement Savings Plan each pay period.
Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
Maternity support programs, nursing benefits, up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non‑birth parents.
Job Summary As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for supporting the day‑to‑day operations of our data infrastructure, processes, and pipelines. This role involves monitoring core technologies and tools, ensuring platform stability, and addressing operational issues as they arise. A key part of this role is ensuring SLAs are met during production incidents by performing root cause analysis, documenting findings, and implementing sustainable fixes aligned with best practices. You will also collaborate with engineering and analytics teams to drive improvements and prevent future issues.
You will report to the Manager, Data Analytics and preferred to be based in either Lake Forest, IL or downtown Chicago.
Visa Sponsorship (first time sponsorship or transfer) is NOT Available for this role at this time.
Responsibilities
Troubleshoot and resolve operational issues to ensure platform stability and timely recovery.
Monitor and support core technologies, tools, and data infrastructure components.
Perform root cause analysis for production incidents; document findings and implement long‑term, best‑practice fixes.
Improve operational efficiency by building alerts, observability dashboards, automation, and reducing redundancies.
Partner with data engineering and platform teams to adopt new tools, frameworks, and patterns.
Work closely with users and stakeholders to address questions, provide support, and troubleshoot issues in a timely manner.
Stay current with industry trends and evaluate emerging technologies to enhance infrastructure and processes.
Qualifications
Minimum 3–5 years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for data engineering or ML workloads.
Minimum 3–5 years of experience orchestrating and managing pipelines with workflow tools such as Databricks Workflows, Apache Airflow, or Luigi.
Minimum 3–5 years of experience designing, building, and optimizing CI/CD pipelines using tools such as GitHub and Jenkins.
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Familiarity with AWS or other cloud services (e.g., AWS Glue, Athena, Lambda, S3).
Familiarity with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
Strong problem‑solving skills with the ability to work independently under pressure.
Preferred Qualifications
Experience in building observability and monitoring frameworks for data infrastructure.
Exposure to DevOps or DataOps practices.
Familiarity with BI tools such as Tableau, PowerBI.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one’s employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
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  • Lake Forest, California, United States

Sprachkenntnisse

  • English
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