Data Engineer
Remote - USA, CAN, MEX
Fleetio
Fleet maintenance management software for fleets of all sizes. Control the chaos of fleet maintenance and management with Fleetio!We are looking for a 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 Manager of Data Engineering and partner closely with our analytics engineers, product, and engineering teams as well as other internal stakeholders. This is an exciting opportunity to join a growing data-first company, 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.
More about our team and company
- Watch our culture videos: https://fleet.io/culture
- Fleetio overview video: https://www.youtube.com/watch?v=IlvIbwZT3oU
- Our careers page: https://www.fleetio.com/careers
Who you are
The ideal candidate for this role is a data engineer with 3-5 years of experience building and maintaining complex data platforms and pipelines. You have a deep understanding of data modeling, data warehousing and modern data tooling. You have experience with not just data, but also automation, orchestration, and managing automated deployments. You are passionate about solving business challenges with data and take pride in implementing scalable solutions. You have the skills to translate ambiguous and non-technical asks to specific technical tasks and deliver incrementally. You are product-minded and team-oriented, willing to hear others' opinions and educate on best practices. You have excellent communication skills (particularly written).
Your impact
- Maintain and develop custom data pipelines from operational source systems to our data platform for both streaming and batch sources.
- Work on development of our internal data infrastructure stack. Improve the hygiene and integrity of our data platform and ancillary tools by maintaining and monitoring the ELT pipeline.
- Develop and maintain our foundational data layer, enabling team members across the company with the interfaces and tools they need to achieve their goals.
- Develop and maintain streaming data pipelines from a variety of databases and data sources
- Collaborate with other Fleetians around the company to understand data needs and ensure required data is collected, modeled, and available to team members.
- Document best practices and coach/advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization & reusability, etc. Keep our data platform tidy by managing roles and permissions and deprecating old projects.
Your experience
- 3+ 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 Snowflake, BigQuery, or Redshift.
- Experience with version control tools such as Github or Gitlab.
- Experience with orchestration tools such as Prefect or Dagster.
- Experience with business intelligence solutions (Metabase, Looker, Tableau, Periscope, Mode).
- Excellent communication and project management skills with a customer service focused mindset.
Considered a plus
- Experience with CI/CD and IaaC tooling such as github Actions and Terraform.
- 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
- 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
Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need.
This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will.
If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Business Intelligence CI/CD Dagster Data pipelines Data Warehousing dbt ELT Engineering GitHub GitLab Kafka Kinesis Looker Metabase Periscope Pipelines Python Redshift Snowflake SQL Streaming Tableau Terraform
Perks/benefits: 401(k) matching Career development Equity / stock options Gear Health care Home office stipend Insurance Parental leave Snacks / Drinks
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