Data Engineer III – Finance
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Job Description
Data Engineer building scalable cloud data pipelines and products for Grainger, a broad-line MRO distributor. Integrating trusted corporate data to enable Finance analytics.
Responsibilities:
- Report to a Senior Manager of Data Engineering & Reporting
- Design, develop, test, and maintain scalable data pipelines and data products integrating 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 to 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 meeting business requirements
- Apply modern data engineering practices and provide technical guidance to less-experienced team members
- Enable analytics by centralizing and integrating high-quality, trusted corporate data in a performant and scalable cloud platform
- Work with SMEs, architects, analysts, and others to build solutions integrating data from enterprise data sources
Requirements:
- 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
- Position is not eligible for visa sponsorship
Benefits:
- Medical, dental, vision, and life insurance plans with coverage starting on day one of employment
- 6 free sessions each year with a licensed therapist
- 18 paid time off (PTO) days annually for full-time employees
- 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
- Free access to financial counseling, education, and tools
- Maternity support programs
- Nursing benefits
- Up to 14 weeks paid leave for birth parents
- Up to 4 weeks paid leave for non-birth parents
- Remote work location type
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