Sr. Data & Analytics Engineer

Rivian; Irvine (CA); On-site; USD 137,000 - 172,000; Full time

Job summary

An innovative company is seeking a Data Engineer to join their Product Development Analytics team. This role involves designing and maintaining data pipelines, collaborating with data scientists, and ensuring data quality across various engineering and manufacturing sectors. The ideal candidate will have a strong foundation in data engineering principles, expertise in SQL and Python, and experience with modern data stack tools. Join a forward-thinking organization dedicated to sustainability and adventure, where your contributions will help shape the future of electric vehicles and data management.

Qualifications

• 4+ years of analytics focused experience required.
• Expertise in SQL and Python for data transformation.
• Experience with ELT patterns and modern data stack tools.

Responsibilities

• Design and maintain scalable ELT pipelines for data processing.
• Collaborate with teams to identify data needs and create reusable patterns.
• Monitor and improve performance and reliability of data pipelines.

Skills

SQL

Python

Data Engineering

Problem-Solving

Data Quality

Education

Bachelor’s degree in Engineering

Master's degree in relevant field

Tools

Fivetran

dbt

Databricks

Snowflake

BigQuery

Job description

About Rivian

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

The Data Engineer within the Product Development Analytics team is responsible for designing, developing, and maintaining data pipelines and infrastructure. You will work with a team of data scientists and analysts to build and operate systems that collect, store, and process large volumes of data centered around Product Lifecycle & Data Management, Program Management, and Vehicle Systems Engineering. The ideal candidate will have a strong foundation in data engineering principles, experience working with big data technologies, and familiarity with medallion data architecture. Additionally, the ideal candidate will have an interest in complex engineering and manufacturing and want to learn more about the sector through data.

Responsibilities

• Design, build, and maintain scalable Extract, Load, Transform (ELT) pipelines and workflows that transform raw data into actionable insights. ● Develop and optimize SQL and Python-based transformation code to process and curate data for analytics and reporting.
• Architect data models and schemas that enable self-service analytics and ensure data accuracy and consistency.
• Collaborate with cross-functional teams to identify data needs, create reusable data patterns, and implement best practices.
• Monitor and improve the performance and reliability of data pipelines, platform and infrastructure.
• Champion data quality through validation processes, monitoring frameworks, and automated testing.
• Partner with platform engineers to integrate new tools, technologies, and frameworks into the data ecosystem.
• Act as a mentor and thought leader for the data engineering community within the organization.
• Streamline tools and processes, mature existing patterns, and establish new patterns as needed across ingestion, governance and analytics to allow the organization to scale gracefully.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Analytics, or equivalent practical experience; Master's degree preferred
• 4+ years of analytics focused experience
• Expertise in SQL and Python for data transformation and pipeline development.
• Strong problem-solving skills and a passion for creating efficient, maintainable, and scalable data systems.
• Strong experience with Extract, Load, Transform (ELT) patterns and modern data stack tools such as Fivetran, dbt, Databricks (preferred), Snowflake, BigQuery is highly desirable.
• Strong communication and collaboration skills, adapts presenting technical solutions to senior stakeholders and building relationships with technical and non-technical stakeholders
• Extremely detail oriented
• Experience with any data quality, data security and monitoring initiatives is preferred.

Pay Disclosure

Salary Range Irvine-Based Applicants:$137,000-$172,000 (actual compensation will be determined based on experience, and other factors permitted by law).

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us [e-mail].

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

Please note that we are currently not accepting applications from third party application services.