Lake Forest, IL

Data Jobs in Lake Forest, IL

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Today

Senior Data Engineer

Grainger Management LLC Lake Forest, IL

Lake Forest, IL

Today

$105k - $174k/yr Full time Senior Artificial Intelligence Aws Data Engineer

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Job Description

Grainger is hiring a Senior Data Engineer to design and operate governed batch and real-time data products for Product Discovery, supporting search, machine learning, analytics, and AI-enabled experiences.

Responsibilities

Design and operate reliable, governed batch and real-time data products using Databricks, Snowflake, Spark, Kubernetes, vector/search technologies, and cloud-native services
Build pipelines, data assets, orchestration patterns, and search and retrieval capabilities that make trusted data available to search, machine learning, analytics, and engineering teams
Design, develop, and maintain scalable data solutions to integrate and transform data for business and analytical use
Apply data engineering practices to deliver reliable, high-quality data products while improving performance, scalability, and automation
Partner with technical and business stakeholders to translate requirements into effective data solutions
Design, develop, test, and maintain scalable data pipelines and data products integrating information from multiple sources
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 business and technical needs and translate them into data designs, specifications, and solutions
Identify and implement improvements to data engineering processes, including automation, optimization, and increased reliability
Resolve data-related challenges with stakeholders and deliver solutions aligned to business requirements
Provide technical guidance, review designs, and help establish engineering practices for less-experienced team members
Design and deliver scalable batch and streaming data pipelines and data products across modern data and cloud platforms
Define reusable Data Engineering patterns for CDC, event-driven processing, workflow orchestration, data products, and AI/search-enabled workloads
Partner with Engineering, Product, and Applied Science on architecture, roadmap, adoption, and operational ownership of data capabilities

Requirements

Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or a related technical field
3+ years of related data engineering or software engineering experience
Experience building and operating production batch and streaming data pipelines on Databricks or similar modern data platforms
Strong software engineering skills in Python, with hands-on experience using Spark or other distributed processing frameworks
Hands-on experience with CDC, streaming/event-driven architectures, and workflow orchestration, including selecting patterns based on scale, reliability, and use case
Experience with containerization and orchestration such as Docker and Kubernetes, plus cloud platforms such as AWS or equivalent
Experience implementing CI/CD and automated testing using GitHub Actions or equivalent platforms
Experience working across relational, NoSQL, vector, graph, or other database technologies and choosing storage patterns based on the use case
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

Technologies

Databricks, Snowflake, Spark, Kubernetes
Vector/search technologies
Python
Docker, AWS
GitHub Actions
CDC, streaming/event-driven architectures, workflow orchestration
CI/CD
NoSQL, graph, relational, vector
Tableflow, Airflow, Databricks Workflows
AWS DMS, Debezium
Machine learning, AI

Preferred

Experience with CDC and orchestration platforms such as AWS DMS, Debezium, Tableflow, Airflow, Databricks Workflows, or equivalent technologies
Experience using machine learning or AI within data pipelines to classify, enrich, standardize, match, or improve data
Experience with e-commerce, search, recommendations, or personalization platforms
Working knowledge of machine learning models and production of ML workflows

Compensation

Anticipated base pay range: $104,500.00 - $174,200.00 per year
Incentive target: eligible for up to 10% (or $), based on individual and company performance objectives per the incentive program terms (subject to change)

Benefits

Medical, dental, vision, and life insurance plans with coverage starting on day one
6 free sessions each year with a licensed therapist for emotional wellbeing support
18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date)
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

Location and Work Type

Lake Forest, IL (Hybrid)

Sponsorship

This position is not eligible for any form of sponsorship now or in the future
Individuals requiring sponsorship (e.g., OPT or H1B) should not apply
Only individuals authorized to work in the United States now and for the foreseeable future will be considered

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2mo ago

Data Scientist

W.W. Grainger Lake Forest, IL

Lake Forest, IL

2mo ago Closed

$87k - $145k/yr Full time Python Analytics Big Data

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

As a Data Scientist within Grainger's Finance organization, you will apply machine learning and statistical analysis to uncover insights, generate business value, and support decision-making through scalable analytical solutions. This position is based in Lake Forest, Illinois, with a hybrid work arrangement.

Responsibilities

Collaborate with business partners to define problems and translate them into technical solutions using machine learning frameworks.
Perform exploratory data analysis and leverage deep business knowledge of customers and marketplace data to uncover new insights.
Work with high-volume, high-dimensional data from multiple sources, visualize patterns and anomalies, and perform feature engineering and selection.
Design and run experiments, collect data for statistical hypothesis testing, and derive inferences and recommendations.
Develop scalable, automated processes to support large-scale data analyses, model development, validation, and deployment.
Apply techniques such as classification, clustering, dimension reduction, regression, NLP, deep learning, and time series forecasting to address varied business problems.
Prepare and present materials that effectively communicate analytical results and recommendations to audiences.
Build expertise on Grainger's business operations, go-to-market model, and the broader MRO market.

Requirements

Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field.
Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field.
Minimum 2 years of data science or statistics-related work experience.
Proficiency with Snowflake, Teradata, or Oracle and SQL querying.
Proficiency in at least one data science programming language (Python or R) and experience with structured and unstructured data.
Experience with machine learning techniques including classification, clustering, dimension reduction, regression, NLP, and time series modeling.
Experience with experimental design, outlier detection methods, and statistical hypothesis testing.
Experience with data visualization techniques and tools.
Ability to translate work into presentations suitable for non-technical audiences.
Proven collaboration with business partners and colleagues.

Technologies

Snowflake
Teradata
Oracle
SQL
Python
R
PowerPoint

Benefits

Medical, dental, vision, and life insurance starting on day one, plus six complimentary therapy sessions annually.
18 paid time off days per year for full-time employees, plus six company holidays.
6% company contribution to the 401(k) plan per pay period with no required employee contribution.
Employee discounts, tuition reimbursement, student loan refinancing, and access to financial counseling and tools.
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents with up to 4 weeks for non-birth parents.
For additional information about Grainger’s benefits, see the New Hire resources link: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire

About Grainger

W. W. Grainger, Inc. is a leading broad-line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working by serving more than 4.6 million customers worldwide with maintenance, repair and operating products and value-added solutions delivered through innovative technology and deep customer expertise. The company is known for its service focus and purpose-driven culture, with reported revenue of $17.9 billion in 2025.

Compensation

The anticipated base pay range for this role is USD 87,200.00 – 145,300.00. The position is eligible for an incentive target of up to 5% based on individual and company performance, as defined by the current incentive program terms.

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Data Jobs in Lake Forest, IL

Senior Data Engineer

Data Scientist

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