Data Engineer III, Finance

Grainger

. Report to a Senior Manager of Data Engineering & Reporting .

Posted 10/31/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $112,900 - $188,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data pipelines and integration solutions, with a strong focus on data accessibility, performance, and quality. Proficient in modern data engineering practices and capable of translating business requirements into effective technical solutions.

Highest-signal resume keywords

Data Pipeline DevelopmentData Integration SolutionsData Engineering PracticesProgramming and Scripting ProficiencyCloud-Based Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData Product DevelopmentData Query LanguagesData ProcessingAutomationTestingDeploymentData AccessibilityData QualityData Scalability

Soft Skills

CollaborationTechnical GuidanceProblem Solving

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Computer EngineeringBachelor's Degree in Information SystemsBachelor's Degree in Data ScienceBachelor's Degree in Software Engineering

Industry Keywords

Data EngineeringData AnalyticsData IntegrationCloud TechnologiesData Automation

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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 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 meeting business requirements
Apply modern data engineering practices and provide technical guidance to less-experienced team members

Requirements

What you’ll need

Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or a closely related technical field 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

Comp & perks

Medical, dental, vision, and life insurance plans with coverage starting on day one
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