Grainger

Data Engineer III

Grainger

full-time

Posted on:

Location Type: Hybrid

Location: Chicago • Illinois • 🇺🇸 United States

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Salary

💰 $110,500 - $184,100 per year

Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSCloudKafkaKubernetesMicroservicesPythonScalaSpark

About the role

  • Pioneer a new way of thinking about Data Pipelines, Orchestration and Configuration at Grainger.
  • Develop our next-generation micro-services to enhance and mature a data-driven culture
  • Help develop the Analytics and Data Kubernetes products in AWS
  • Experience building data products for Data Science use cases
  • Assemble complex sets of data that meet requirements
  • Identify and design internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Build required tools for extraction, transformation and loading of data from data sources
  • Build product features to allow self-service analytics
  • Work with partners including data, design, product and executive teams and assisting them with data-related technical issues

Requirements

  • Bachelor's Degree or equivalent experience required
  • 3+ years hands-on experience with Modern Data Engineering projects and practices (Airflow, Kafka, Spark, and python) required
  • Successful track record in developing and automating large-scale, high-performance data engineering systems (batch and streaming).
  • Experience with both scripting and system programming languages (Python and Scala).
  • Experience with microservices including defining and testing APIs
  • Experience architecting, developing, and deploying both offline and online feature stores
  • Experience leading data integration efforts of data sources
  • Experience partnering with internal departments (Supply Chain, Marketing, Finance, and HR) to establish requirements.
  • Develop junior team members through modern cloud-based development
  • Translate requirements into technical requirements and produce required source-to-target data mappings.
  • Bring complex concepts into our organization and mentor others.
  • Experience with advanced analytics and machine learning.
Benefits
  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data PipelinesOrchestrationConfigurationMicro-servicesData EngineeringAirflowKafkaSparkPythonScala
Soft skills
LeadershipMentoringCollaborationCommunicationProblem-solvingProcess ImprovementTechnical AssistanceRequirement TranslationTeam DevelopmentScalability Optimization
Certifications
Bachelor's Degree