1001 - 5000 employees
Founded 2015
π Transport
π§ Hardware
πͺ Marketplace
π° $1.2G Debt Financing on 2021-08
January 29
β°οΈ Colorado β Remote
π½ Illinois β Remote
+2 more states
β° Full Time
π Senior
π° Data Engineer
1001 - 5000 employees
Founded 2015
π Transport
π§ Hardware
πͺ Marketplace
π° $1.2G Debt Financing on 2021-08
β’ EquipmentShare is Hiring a Senior Data Engineer. β’ At EquipmentShare, we believe itβs more than just a job. We invest in our people and encourage you to choose the best path for your career. Itβs truly about you, your future, and where you want to go. β’ We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. β’ Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript. β’ We are typically organized into agile cross-functional teams composed of Engineering, Product, and Design, which allows us to develop deep expertise and rapidly deliver high-value features and functionality to our next-generation T3 Platform. β’ Youβll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets. β’ We'll be there to support you as you become familiar with our teams, product domains, tech stack and processes β generally how we all work together. β’ Collaborate with Product Managers, Designers, Engineers, Data Scientists and Data Analysts to take ideas from concept to production at scale. β’ Design, build and maintain our data platform to enable automation and self-service for data scientists, machine learning engineers and analysts. β’ Design, build and maintain data product framework to support EquipmentShare application data science and analytics features. β’ Design, build and maintain CI/CD pipelines and automated data and machine learning deployment processes. β’ Develop data monitoring and alerting capabilities. β’ Document architecture, processes and procedures for knowledge sharing and cross-team collaboration. β’ Mentor peers to help them build their skills.
β’ 7+ years of relevant data platform development experience building production-grade solutions. β’ Proficient with SQL and a high-order object-oriented language (e.g., Python). β’ Experience with designing and building distributed data architecture. β’ Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. β’ Experience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others. β’ Familiarity with event data streaming at scale. β’ Proven track record learning new technologies and applying that learning quickly. β’ Experience building observability and monitoring into data products. β’ Motivated to identify opportunities for automation to reduce manual toil.
β’ Competitive base salary and market leading equity package. β’ Unlimited PTO. β’ Remote first. β’ True work/life balance. β’ Medical, Dental, Vision and Life Insurance coverage. β’ 401(k) + match. β’ Opportunities for career and professional development with conferences, events, seminars and continued education. β’ On-site fitness center at the Home Office in Columbia, Missouri, complete with weightlifting machines, cardio equipment, group fitness space, racquetball courts, a climbing wall, and much more! β’ Volunteering and local charity support that help you nurture and grow the communities you call home through our Giving Back initiative. β’ Stocked breakroom and full kitchen with breakfast and lunch provided daily by our chef and kitchen crew.
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