Senior Data Engineer

January 29

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Logo of EquipmentShare

EquipmentShare

1001 - 5000 employees

Founded 2015

🚗 Transport

🔧 Hardware

🏪 Marketplace

💰 $1.2G Debt Financing on 2021-08

Description

• EquipmentShare is Hiring a Senior Data Engineer. • 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. • 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. • Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript. • 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. • 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. • We'll be there to support you as you become familiar with our teams, product domains, tech stack and processes — generally how we all work together. • Collaborate with Product Managers, Designers, Engineers, Data Scientists and Data Analysts to take ideas from concept to production at scale. • Design, build and maintain our data platform to enable automation and self-service for data scientists, machine learning engineers and analysts. • Design, build and maintain data product framework to support EquipmentShare application data science and analytics features. • Design, build and maintain CI/CD pipelines and automated data and machine learning deployment processes. • Develop data monitoring and alerting capabilities. • Document architecture, processes and procedures for knowledge sharing and cross-team collaboration. • Mentor peers to help them build their skills.

Requirements

• 7+ years of relevant data platform development experience building production-grade solutions. • Proficient with SQL and a high-order object-oriented language (e.g., Python). • Experience with designing and building distributed data architecture. • Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. • Experience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others. • Familiarity with event data streaming at scale. • Proven track record learning new technologies and applying that learning quickly. • Experience building observability and monitoring into data products. • Motivated to identify opportunities for automation to reduce manual toil.

Benefits

• Competitive base salary and market leading equity package. • Unlimited PTO. • Remote first. • True work/life balance. • Medical, Dental, Vision and Life Insurance coverage. • 401(k) + match. • Opportunities for career and professional development with conferences, events, seminars and continued education. • 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! • Volunteering and local charity support that help you nurture and grow the communities you call home through our Giving Back initiative. • Stocked breakroom and full kitchen with breakfast and lunch provided daily by our chef and kitchen crew.

Apply Now

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