1 day ago
Base Salary
$113k - $188k/yr
Responsibilities
- Recommend and implement data architecture and data accessibility strategies aligned with organizational architecture.
- Design, develop, and maintain data warehouses, business intelligence solutions, ETL processes, logical data models, and physical database designs.
- Build Python-based ETL scripts and SQL- and JavaScript-based UDFs, and author and review complex analytical queries.
- Collaborate with business partners, analysts, data and ML teams, product, design, executives, and engineering stakeholders.
- Optimize systems and processes for speed, scalability, and reliability while troubleshooting and improving existing systems.
- Enhance CI/CD pipelines and apply agentic AI tooling across data engineering development and process improvement.
- Write clean, maintainable, efficient code and produce comprehensive technical documentation.
- Mentor junior engineers, promote effective team practices, and contribute to team culture and continuous improvement.
Requirements
- Bachelor’s degree in Data Engineering, Software Engineering, or a related field, or relevant work experience.
- At least 3 years of experience with modern data engineering projects and practices, including scalable solutions using AWS, Snowflake, Databricks, Postgres, MongoDB, and Kafka.
- At least 3 years of experience designing, building, and deploying cloud-native solutions.
- Experience with Java, Python, SQL, distributed systems, production-grade software, and software engineering best practices.
- Proficiency in a cloud stack such as AWS, Google Cloud Platform, or Azure, and experience with event-streaming technologies such as Kafka.
- Understanding of ML concepts, RESTful APIs, performant data models, containerization, Docker, and Kubernetes.
- Experience with AI code assistant tooling such as Claude Code, GitHub Copilot, or ChatGPT.
- Familiarity with version control systems such as Git, CI/CD pipelines, Agile/Scrum methodologies, and DevOps practices.
- Strong communication, collaboration, problem-solving, and technical documentation skills.
Benefits
- Hybrid work arrangement in Lake Forest or Chicago, Illinois, with full-time remote candidates encouraged to apply; some travel is required for team meetings.
- Medical, dental, vision, and life insurance beginning on day one, plus six annual licensed-therapist sessions.
- Eighteen paid time-off days annually for full-time employees and six company holidays.
- Company 401(k) contribution of 6% per pay period with no employee contribution required.
- Employee discounts, tuition reimbursement, student loan refinancing, and financial counseling and education tools.
- Maternity support, nursing benefits, and up to 14 weeks of paid leave for birth parents or four weeks for non-birth parents.
Tech Stack
Apache AirflowApache KafkaAWSAzureDatabricksDockerGitGoogle Cloud PlatformJavaJavaScriptKubernetesMongoDBPostgreSQLPythonSnowflakeSQL
Categories
Data Engineering
About Grainger
W.W. Grainger is a public B2B distributor of maintenance, repair, and operations (MRO) supplies, safety gear, and facility products for businesses. It sells through a high-touch distribution network and its Endless Assortment e-commerce brands Zoro and MonotaRO, alongside services like inventory management and technical support. Founded in 1927 and headquartered in Lake Forest, Illinois, Grainger serves more than 4.5 million customers and reported $17.2 billion in 2024 revenue.