Fleetio

Senior Analytics Engineer

Fleetio

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

Amazon RedshiftBigQueryPythonSQLTableauTerraform

About the role

  • Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
  • Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and homegrown solutions.
  • Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene.
  • Architect and implement key components of the analytics infrastructure, such as BI, semantic layers, and a foundational data warehouse.
  • Develop and maintain streaming data pipelines from various databases and data sources.
  • Collaborate across business units to understand data needs and ensure the 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.

Requirements

  • 5+ years of experience with a proven track record in data or analytics engineering.
  • Experience transforming raw data into clean models using standard tools of the modern data stack and a deep understanding of ELT and data modeling concepts.
  • Proficiency in python and orchestration tooling like prefect or dagster.
  • 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 CI/CD and IaaC tooling such as github Actions and Terraform.
  • Experience with business intelligence solutions (Metabase, Looker, Tableau, Periscope, Mode)
  • 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.
Benefits
  • Multiple health/dental coverage options (100% coverage for employee, 50% for family)
  • Vision insurance
  • Incentive stock options
  • 401(k) match of 4%
  • PTO - 4 weeks (increases at year two!)
  • 12 company holidays + 2 floating holidays
  • Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid)
  • 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
  • Fully stocked kitchen with tons of drinks & snacks (BHM only)
  • Remote working friendly since 2012 #LI-REMOTE
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata modelingELTSQLpythondata pipelinesdata warehousesstreaming datadata qualitymetrics
Soft Skills
communicationproject managementcustomer servicecoachingcollaboration