Senior Data Engineer

March 30

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Fleetio

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Track, analyze and improve your fleet operations with Fleetio

Fleet Management Software • Fleet Maintenance Software • SaaS

201 - 500

Description

• 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. Your work will encompass the full spectrum of data engineering while also crossing over into areas of software and analytical engineering. • 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. • A little about us… Fleetio is a modern software platform that helps thousands of organizations around the world manage their fleet operations. Transportation technology is a hot market and we’re leading the charge, with raving fans and new customers signing up every day. We raised $144M in Series C in June of 2023 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation!

Requirements

• 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 • Considered a plus • Experience with data marketplaces/private sharing technologies such as snowflake marketplace or AWS data exchange (preferred). • Experience contributing to open-source projects (preferred). • Experience with full-stack engineering.

Benefits

• 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