Fleetio is a comprehensive fleet management software provider that helps organizations track, analyze, and improve their fleet operations. The platform offers tools for vehicle maintenance, tracking fuel usage, managing drivers, and ensuring regulatory compliance. Fleetio aims to enhance efficiency and reduce costs for businesses with fleets of all sizes by providing real-time data and insights.
Fleet Management Software • Fleet Maintenance Software • SaaS
March 30, 2024
Fleetio is a comprehensive fleet management software provider that helps organizations track, analyze, and improve their fleet operations. The platform offers tools for vehicle maintenance, tracking fuel usage, managing drivers, and ensuring regulatory compliance. Fleetio aims to enhance efficiency and reduce costs for businesses with fleets of all sizes by providing real-time data and insights.
Fleet Management Software • Fleet Maintenance Software • SaaS
• We are looking for a senior data engineer to join our data and analytics team to help us build the next generation of our data platform and product. • Together with the rest of the team, you will be responsible for the design and implementation of our data platform while also building data products for marketplaces, integrations and analytics. • You will report to Fleetio’s Director of Data and Analytics and partner closely with our product and engineering teams as well as other internal stakeholders. • This is an exciting opportunity to join a growing data-first company and push the boundaries of the modern data stack and deliver data products to our customers in new and exciting ways.
• 5+ years experience working in a data engineering or data-focused software engineering role. • Experience transforming raw data into clean models using standard tools of the modern data stack and deep understanding of ELT and data modeling concepts. • Experience with streaming data and pipelines such as kafka or kinesis. • Proficiency in python and proven track record of delivering production-ready python applications. • Experience in designing, building, and administering modern data pipelines and data warehouses • Experience with dbt. • Experience with semantic layers like cube or metricflow. • Experience with Snowflake, BigQuery, or Redshift. • Experience with version control tools such as Github or Gitlab. • Experience with ELT tools such as Stitch or Fivetran. • Experience with orchestration tools such as Prefect or Dagster. • Experience with CI/CD and IaaC tooling such as github Actions and Terraform. • Experience with business intelligence solutions (Metabase, Looker, Tableau, Periscope, Mode) • Experience with serverless cloud functions (AWS Lambda, Google Cloud Functions, etc.) • Excellent communication and project management skills with a customer service focused mindset. • Be sure to mention "coffee" in your application so we know you read this
• Multiple health/dental coverage options • Vision insurance • Incentive stock options • 401(k) match of 4% • PTO - 4 weeks • 12 company holidays + 2 floating holidays • Parental leave- birthing parent (12 weeks paid) non-birthing (4 weeks) • FSA & HSA options • Short and long term disability (short term 100% paid) • Community service funds • Professional development funds • Wellbeing fund - $150 quarterly • Business expense stipend- $125 quarterly • Mac laptop + new hire equipment stipend • Monthly catered lunches • Fully stocked kitchen with tons of drinks & snacks • Remote working friendly since 2012 #LI-REMOTE
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