Senior Data Engineer on Grainger’s Pricing team creating technology that supports their pricing strategy. Responsible for building and maintaining applications and data for effective pricing decisions.
Responsibilities
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.
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.
Data Engineer at UBDS Group focusing on designing and optimizing modern data platforms. Collaborating in a multidisciplinary team to develop reliable data assets for analytics and operational use cases.