Role Summary

Rivian is looking for a Data Engineer to support the Service Business Operations team reporting to the Manager of Data Science and Engineering. The Service Business Operations team works across the organization to use data to inform and aid in the strategic planning and operational decisions of how we allocate resources to support Rivian in its growth. As an early member of a growing team, this role will be responsible for leading the design, implementation, deployment, and support of database systems and data models to drive improved insights for our stakeholders. This could include information retrieval, data storage, testing, machine learning operations, and scaling to shape the Service Business Operations analytics and data science teams. This role will also act as a liaison between the Business Operations team and data engineering teams to ensure we are building robust solutions to support the business.  

Responsibilities

• Design and build secure, scalable, performant and reliable databases and data models
• Develop and maintain data pipelines and data products that empower Data Scientists and Analysts to access data that is accurate, reliable, and simple
• Automate processes including, but not limited to, ETL, data monitoring, and testing to maintain robust systems and enabling teams to react quickly to data issues
• Drive the implementation of new processes and technologies to improve data science and data analytics team efficiency in responding to stakeholders
• Collaborate and partner with the Service Business Operations team to understand needs, goals, and objectives
• Create operational processes or playbooks, contributing to the technical knowledge of the organization through training, mentoring, or documentation to drive changes
• Code that meets standards for style, maintainability, and best practices, advocating for reusability and automation
• Be a driver of change by focusing on improving data usability and data quality throughout the organization

Qualifications

• 5+ years of experience building databases, data platforms, data models, and data architectures using AWS services (e.g. S3, Redshift, Glue, etc.), SQL, Databricks, Airflow, and open-source
• Bachelors or Masters (preferred) in Computer Science, Engineering, or a related technical discipline
• Proven professional experience working through an environment of ambiguity with the ability to self-prioritize responsibilities and requests from multiple cross functional partners
• Experience working with technical teams, such as Data Analytics or Data Science, and non-technical teams, to gather requirements, build solutions, and lead technical design of data platforms in an Agile environment
• Experience working with two or more of the following: databases, data architecture, CI/CD, machine learning operations, and workflow management
• Foundational programming knowledge in at least one of the following languages, Java, Python, or Scala
• Ability to sit or stand for 8-12 hours per day
• Required to communicate using phone and e-mail

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