Software Engineer II, Data, Autonomy

Rivian • Palo Alto, CA

7h

About The Position

The Autonomy organization at Rivian is seeking a Software Engineer II to join our dynamic analytics
team. If you are interested in transforming raw data into actionable insights and have experience with
tools like Hex, Streamlit, SQL, AWS, and Databricks, this role offers the opportunity to contribute to
building data pipelines, dashboards, and metrics for autonomy features. This role is ideal for someone
eager to work with large datasets, support analytical projects, and develop impactful visualizations under
guidance from senior team members.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 1–3 years of experience as a Software Engineer or Data Engineer, with experience handling moderately large datasets.
• Familiarity with data visualization tools such as Hex, Streamlit, or Tableau.
• Proficiency in SQL for querying and manipulating datasets.
• Working knowledge of Python for data analysis, scripting, and automation.
• Ability to work collaboratively in a team and take guidance from senior engineers.
• Good problem-solving skills and ability to communicate technical concepts to stakeholders.
• Eagerness to learn and grow in a fast-paced, data-driven environment.

Nice To Haves

• Experience with Databricks, AWS, or other cloud platforms is preferred.

Responsibilities

• Data Visualization: Assist in designing and developing interactive data visualizations using tools such as Hex, Streamlit, or Tableau to support decision-making.
• SQL Queries: Write and optimize SQL queries to extract, manipulate, and validate data for reporting and analytics.
• AWS Support: Use AWS cloud services to support data storage, processing, and analytics workflows.
• Databricks Integration: Work with the team to develop notebooks and workflows in Databricks to support data pipelines and dashboards.
• Collaboration: Partner with senior engineers, business stakeholders, and analysts to understand requirements and deliver data solutions.
• Data Analysis: Conduct exploratory data analysis to identify trends and patterns that support informed decision-making.
• Data Pipelines: Support the development, maintenance, and enhancement of data pipelines to ensure data availability for dashboards and reporting.
• Best Practices: Follow team standards for data engineering, including data governance, security, and documentation.
• Storytelling with Data: Assist in creating clear narratives around data insights for stakeholders.

Benefits

• Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level