Senior Data Engineer, Finance Analytics (Remote)

Grainger; Lake Forest (IL); Remote; USD 113,000 - 188,000; Full time

Job summary

Grainger is seeking a Data Engineer for the Finance Continuous Improvement team. The Data Engineer will design and develop data pipelines and products in a modern cloud environment, collaborating with SMEs, architects, and analysts to deliver trusted data for analytics.

The ideal candidate has 3+ years in data or software engineering, with strong programming and data-query skills, and a solid foundation in data processing and cloud technologies.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 3+ years of data engineering or software engineering experience.
• Experience designing scalable data pipelines and data products.
• Proficiency with programming, scripting, and data query languages.
• Experience translating requirements into technical designs with multiple data sources.
• Knowledge of data processing, automation, testing, deployment in cloud environments.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines and data products.
• Build solutions to extract, transform, integrate, and deliver data for analytics.
• Develop data engineering capabilities to improve accessibility, performance, and scalability.
• Analyze requirements and translate business needs into data designs and solutions.
• Identify improvements to data engineering processes, including automation and reliability.
• Partner with stakeholders to resolve data-related challenges and deliver solutions.
• Apply modern data engineering practices and provide guidance to junior team members.

Skills

Data engineering

Software engineering

Data pipelines

Data integration

Scripting languages

Data query languages

Education

Bachelor's Degree or equivalent experience in Computer Science/Engineering/Data Science/Software Engineering or related field

Job description

Grainger is seeking a Data Engineer for the Finance Continuous Improvement team. The Data Engineer will design and develop data pipelines and products in a modern cloud environment, collaborating with SMEs, architects, and analysts to deliver trusted data for analytics.

The ideal candidate has 3+ years in data or software engineering, with strong programming and data-query skills, and a solid foundation in data processing and cloud technologies.