Grainger Management LLC is hiring a Senior Data Engineer for the Product Discovery organization. The role designs and operates governed batch and real-time data products that support search, machine learning, analytics, and AI-enabled experiences.
Role Overview
You will build data pipelines, orchestration, and search or retrieval capabilities that make trusted data available to search, machine learning, analytics, and engineering teams. The position emphasizes scalable data solutions across modern data and cloud-native platforms, along with reusable engineering patterns for streaming, CDC, and AI or search-enabled workloads.
Responsibilities
- Design and operate reliable, governed batch and real-time data products using technologies such as Databricks, Snowflake, Spark, Kubernetes, vector/search technologies, and cloud-native services.
- Build pipelines, data assets, orchestration patterns, and search or retrieval capabilities that enable trusted data for search, machine learning, analytics, and engineering teams.
- Design, develop, and maintain scalable data solutions that integrate and transform data for business and analytical use.
- Apply data engineering practices to deliver reliable, high-quality data products and improve 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.
- Create solutions to extract, transform, integrate, and deliver reliable data for analytical and business needs.
- Develop and enhance data engineering capabilities to improve 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.
- Resolve data-related challenges in collaboration with technical and business 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 to shape architecture, roadmap, adoption, and operational ownership of data capabilities.
Required Qualifications
- Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or a closely related technical field.
- 3+ years of experience in related data engineering or software engineering.
- 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 appropriate patterns based on scale, reliability, and use case.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes, and cloud platforms such as AWS or equivalent.
- Experience implementing CI/CD and automated testing using platforms such as GitHub Actions or equivalent.
- Experience working across relational, NoSQL, vector, graph, or other database technologies and selecting storage patterns based on 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.
Technology Stack
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 Qualifications
- 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
The anticipated base pay range for this position is $104,500.00 – $174,200.00 annually.
This role is eligible for an incentive target of up to 10% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program, which are subject to change.
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 to support emotional wellbeing.
- 18 paid time off (PTO) days annually for full-time employees, with 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, with 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.
Work Location
Hybrid in Lake Forest, IL.
Sponsorship
- This position is not eligible for any form of sponsorship now or in the future.
- Individuals requiring sponsorship (for example, OPT or H1B visa status) should not apply.
- Only individuals authorized to work in the United States now and for the foreseeable future will be considered.
