Senior Data Analytics Engineer

CloudTrucks is a virtual trucking carrier building the operating system for trucking, providing an all-in-one solution to empower truck drivers.
$155,000 - $205,000
Data
Senior Software Engineer
Hybrid
5+ years of experience
Logistics

Description For Senior Data Analytics Engineer

CloudTrucks is revolutionizing the $700B trucking industry by building the first platform specifically designed to empower truck drivers. As a Senior Data Analytics Engineer, you'll join a company that's tackling the challenges of an industry that moves 70% of U.S. goods through 3.5 million drivers annually.

You'll be responsible for maintaining and scaling the Data Infrastructure while working with the Data Analytics team that owns all business reporting end-to-end. The role offers exciting opportunities to collaborate across teams, from engineering to operations, supporting various data needs and building scalable solutions.

Key projects include developing data pipelines for user-facing features, creating efficient operational reporting solutions, and supporting ML Engineers and Data Scientists. You'll work with modern tools like Google Cloud Services, Airflow, and Looker, while having the chance to shape the company's data infrastructure strategy.

The ideal candidate brings 5+ years of data warehouse experience, strong SQL and Python skills, and expertise in data engineering principles. You'll thrive in this role if you're passionate about solving complex data challenges, have excellent communication skills, and enjoy working in a fast-paced startup environment.

CloudTrucks offers competitive compensation ($155K-$205K plus equity) and values autonomy, ownership, and delivering results. The company culture encourages pushing boundaries and resilience, while respecting work-life balance. Join a team that's transforming the trucking industry through innovation and technology.

Last updated 17 hours ago

Responsibilities For Senior Data Analytics Engineer

  • Build, audit, and evolve data ingestion processes using Google Cloud Services, Airflow and Segment
  • Evolve and scale the data warehouse
  • Enable operational analytics by syncing data to 3rd party tools
  • Manage data visualization in Looker; build and own mission critical dashboards
  • Define and own service level agreements for data analytics products
  • Champion data best practices across engineering
  • Own the Data Infrastructure roadmap
  • Collaborate with software engineers on data needs for Machine Learning pipelines

Requirements For Senior Data Analytics Engineer

Python
  • 5+ years of experience working with data warehouses
  • Expertise in software engineering principles
  • Expertise in writing complex, efficient SQL code
  • Understanding of data engineering architectures and tools
  • Experience with GCP (BigQuery, Dataform) and Airflow
  • Strong analytical skills with structured and unstructured datasets
  • Strong written and verbal communication skills
  • Experience with Looker preferred
  • Comfortable working in fast growth startup environment

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