[Hiring] Data Engineer III @Grainger Businesses

Role Description

Grainger is looking for a Data Engineer for our Finance Continuous Improvement team. The Data Engineer will report to a Senior Manager of Data Engineering & Reporting. The Finance Continuous Improvement team's primary mission is to enable analytics by centralizing and integrating high-quality, trusted corporate data in a performant and scalable cloud platform. The Data Engineer will design and develop data pipelines and products in a modern-day, cloud environment. You will work with SMEs, architects, analysts, and others to build solutions that integrate data from many of our enterprise data sources.

• Design, develop, test, and maintain scalable data pipelines and data products that integrate information from multiple sources.
• Build solutions to extract, transform, integrate, and deliver reliable data for analytical and business needs.
• Develop and enhance data engineering capabilities that improve data accessibility, performance, quality, and scalability.
• Analyze requirements and translate business and technical needs into data designs, specifications, and solutions.
• Identify and implement improvements to data engineering processes, including automation, optimization, and increased reliability.
• Partner with technical and business stakeholders to resolve data-related challenges and deliver solutions that meet business requirements.
• Apply modern data engineering practices and provide technical guidance to less-experienced team members.

Qualifications

• Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or a closely related technical field or equivalent experience required.
• 3+ years of related data engineering or software engineering experience required.
• Experience designing and developing scalable data pipelines, data integration solutions, and data products.
• Proficiency with programming, scripting, and data query languages used to develop and manipulate data solutions.
• Experience translating requirements into technical designs and implementing solutions involving multiple data sources.
• Knowledge of modern data engineering practices, including data processing, automation, testing, deployment, and cloud-based technologies.

Requirements

• Position is not eligible for visa sponsorship.

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 to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) 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, student loan refinancing and free access to financial counseling, education, and tools.
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.