Data Engineer IV

Grainger

. Design and operate pipelines, data assets, semantic models, search and retrieval layers, and platform patterns that make trusted data available for analytics, AI agents, and operational decision-making .

Posted 11/10/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $134,100 - $223,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data processing systems and pipelines using Databricks and Snowflake, with a strong focus on AI-enabled workflows and data reliability. Proficient in orchestrating production pipelines and mentoring teams in advanced data engineering practices.

Highest-signal resume keywords

Databricks Platform ExperienceSnowflake AI CapabilitiesBatch And Streaming Data EngineeringProduction Pipeline OrchestrationContainerization And Orchestration Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SparkPythonScalaDatabricks WorkflowsApache AirflowCI/CD ImplementationData ModelingMachine LearningShell ScriptingData Quality Functions

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

KubernetesDockerGitHub ActionsAWS GlueCortex AnalystCortex SearchClaudeGitHub CopilotDelta LakeUnity Catalog

Industry Keywords

Data EngineeringAI-Enabled ApplicationsData Management LifecycleAgile MethodologyMulti-Agent Systems

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerDynamoDBJenkinsKubernetesNoSQLPythonScalaShell ScriptingSnowflakeSparkUnityUnix

About the role

Key responsibilities & impact

Design and operate pipelines, data assets, semantic models, search and retrieval layers, and platform patterns that make trusted data available for analytics, AI agents, and operational decision-making
Design and implement highly efficient, reusable, and scalable data processing systems and pipelines across Kubernetes, Databricks, Snowflake, and related cloud services
Define platform patterns for AI-ready data products, including governed data assets, semantic models, vector and search capabilities, retrieval patterns, and integration points for Snowflake, Databricks, and other AI-enabled workflows
Evaluate, implement, and operationalize Snowflake AI initiatives including Cortex Analyst, Cortex Search, Cortex Agents, Cortex Code, Cortex Sense, and related AI/LLM-enabled data engineering features
Support Databricks requests from data engineering and analytics teams, including job orchestration, reusable pipeline patterns, performance tuning, production troubleshooting, workspace standards, and best-practice guidance
Use and evaluate AI-assisted engineering tools such as Claude, Claude CLI, GitHub Copilot, and related agentic tooling
Design with test-driven development and implement solutions for data reliability, accuracy, observability, and operational resilience
Develop data models and mappings, build new data assets, and perform exploratory data analysis on existing products and datasets
Educate data engineering teams on new data patterns, platform capabilities, AI-enablement approaches, and tools
Evaluate emerging technologies and multi-agent engineering environments for Grainger requirements
Work within an Agile delivery / Kanban methodology to deliver product increments iteratively
Work with product and business partners to define roadmaps, communication, architecture, adoption plans, and support models
Mentor junior team members and raise the technical bar for data engineering practices across the organization

Requirements

What you’ll need

3+ years of experience in batch and streaming data engineering using Spark, Python, Scala, Snowflake, or Databricks for analytics, data engineering, or machine learning workloads
3+ years orchestrating and implementing production pipelines with Databricks Workflows / Lakeflow Jobs, Apache Airflow, Luigi, or similar orchestration platforms
Hands-on Databricks platform experience in a central data platform or data engineering enablement role, including notebooks/repos, Delta Lake, Unity Catalog, Databricks Runtime, job/serverless/cluster compute, workflow monitoring, cost and performance optimization, and production support of user requests
Experience or strong working familiarity with Snowflake AI and Cortex capabilities such as Cortex Analyst, Cortex Search, Cortex Agents, Cortex Code / Snowflake CoCo, Cortex Sense, AISQL / AI functions, semantic models, and AI-enabled search, retrieval, or agent patterns
Comfort working with AI-assisted developer and agent tools such as Claude, Claude CLI, GitHub Copilot, or similar tools
Understanding of emerging multi-agent system patterns, including context management, tool use, orchestration, guardrails, testing, observability, and secure enterprise adoption
5+ years of experience preparing structured and unstructured data for data science, analytics, machine learning, or AI-enabled applications
4+ years of experience with containerization and orchestration technologies such as Docker and Kubernetes
Experience with shell scripting in Bash, Unix, or Windows shell preferred
Experience working with vector databases, graph databases, relational databases, and NoSQL stores
Experience using machine learning or AI in data pipelines to discover, classify, enrich, standardize, and clean data
Experience implementing CI/CD with automated testing in Jenkins, GitHub Actions, GitLab CI/CD, or similar tooling
Familiarity with AWS or other cloud services such as AWS Glue, Athena, Lambda, S3, and DynamoDB
Demonstrated experience implementing the data management lifecycle using data quality functions such as standardization, transformation, rationalization, linking, matching, monitoring, and stewardship
Position is not eligible for visa sponsorship

Benefits

Comp & perks

Medical, dental, vision, and life insurance plans 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, with 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
Incentive target of up to 15% based on individual and company performance objectives