Job summary
Job post source
This job is directly from CloudTrucks
Job overview
The Senior Data Engineer at CloudTrucks is responsible for maintaining and scaling data infrastructure to support business reporting and analytics, impacting operational efficiency and customer-facing data products.
Responsibilities and impact
The role involves building and evolving data ingestion processes, scaling the data warehouse, managing data visualization and dashboards, collaborating across teams to meet data needs, defining service level agreements for data products, and championing data best practices.
Experience and skills
Requires 5+ years of experience with data warehouses and ETL pipelines, expertise in software engineering principles, advanced SQL and Python skills, knowledge of cloud data engineering tools especially GCP and Airflow, strong analytical and communication skills, and experience with Looker preferred.
Work environment and culture
CloudTrucks values high autonomy, ownership, resilience, and delivering results, encouraging a fast-paced, collaborative environment with respect for diversity and personal commitments.
Company information
CloudTrucks is a virtual trucking carrier focused on innovating the trucking industry by providing an all-in-one platform to empower truck drivers, aiming to scale into an industry-defining business.
Team overview
The Senior Data Engineer will join the Data team responsible for end-to-end business reporting and data analytics products, collaborating with product development and other teams.
Unique job features
The role offers opportunities to work on diverse projects including data ingestion from third-party sources, supporting machine learning pipelines, and implementing analytics as code practices.
Company overview
CloudTrucks is a technology-driven trucking company that provides a comprehensive platform for independent truck drivers and small trucking businesses. They offer services such as load matching, route optimization, and financial management tools to help drivers maximize their earnings and efficiency. Founded in 2019, CloudTrucks leverages data analytics and machine learning to streamline operations and reduce overhead costs. Their innovative approach has attracted significant venture capital funding, positioning them as a disruptive force in the logistics and transportation industry.
How to land this job
Position your resume to highlight your 5+ years of experience with data warehouses, ETL pipelines, and your expertise in SQL, Python, and Google Cloud Platform tools like BigQuery and Dataform to match CloudTrucks' technical stack.
Emphasize your ability to collaborate cross-functionally with product, operations, and machine learning teams, showcasing your experience in building scalable data infrastructure and supporting analytics and reporting needs.
Apply through multiple channels including CloudTrucks' corporate careers page, LinkedIn job postings, and relevant tech job boards to maximize your application visibility.
Connect on LinkedIn with data team members or engineering leads at CloudTrucks; use ice breakers like commenting on their recent projects or asking about how they handle data challenges in the trucking industry to start conversations.
Optimize your resume for ATS by incorporating key phrases from the job description such as 'data ingestion,' 'ETL pipelines,' 'Google Cloud Services,' 'Airflow,' 'Looker,' and 'scalable data architecture' to ensure your resume passes automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find LinkedIn contacts to network with, freeing you to focus on interview preparation and skill sharpening.
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