Senior Data Engineer

Join Arrive Logistics as a Senior Data Engineer, where you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You will design, build, and optimize robust data pipelines, develop and maintain data warehousing solutions, ensure data quality and integrity, and collaborate with stakeholders to deliver actionable solutions. This is a high-impact role that directly influences how Arrive leverages its most valuable asset, data.

• Design, build, and optimize robust, scalable, and reliable data pipelines to ingest and process data from a wide variety of sources.
• Develop and maintain data warehousing solutions, ensuring data quality and integrity by implementing data validation frameworks.
• Collaborate with stakeholders to understand data requirements and deliver actionable solutions, while also mentoring and leading the team.
• Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift
• Expert proficiency in SQL and strong programming skills in Python
• Familiarity with CI/CD, microservice architecture, domain driven design, data contracts
• Solid understanding with best practices around data security/privacy, role-based access control
• Solid understanding of BI-tooling integrations with a cloud data warehouse, with a strong preference for PowerBI
• Proven experience building and orchestrating data pipelines using dbt and Airflow
• Solid understanding of event-driven architecture and the use of messaging systems like Kafka to enable real-time data flow
• Hands-on experience developing data solutions in a major cloud environment, with a strong preference for Microsoft Azure
• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
• 5+ years experience in data engineering
• Experience with machine learning concepts, frameworks, and infrastructure