Senior Data Engineer

January 29

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Logo of EquipmentShare

EquipmentShare

1001 - 5000 employees

Founded 2015

πŸš— Transport

πŸ”§ Hardware

πŸͺ Marketplace

πŸ’° $1.2G Debt Financing on 2021-08

Description

β€’ EquipmentShare is Hiring a Senior Data Engineer. β€’ At EquipmentShare, we believe it’s more than just a job. We invest in our people and encourage you to choose the best path for your career. It’s 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€’ You’ll 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.

Requirements

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.

Benefits

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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