About Rivian Rivian is 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 In this critical role, you will work directly with our Facilities team to enable our business leaders and domain analysts to leverage data from across the enterprise to enable data-driven decision-making.

You will also partner with extended team of data engineers within the Enterprise Data team to consistently implement best practices related to data pipelines and data modeling.

This role will be located in Atlanta, GA and report to our Director of Enterprise Data & Analytics.

Responsibilities Own and drive the design, development and implementation of Facilities data pipelines and data + analytics catalog (ELT) to provide stakeholders access to structured data Build and maintain large scale data pipelines from internal and external data sources into our datalake on Databricks – you will be building the data ingestion and transformation layer, including bronze, silver and gold tables Build modular set of data services using SQL, Python, DBT, AWS services, and other tools with appropriate controls as set by Data Governance policy Automate and schedule jobs and optimize for performance Implement observability on pipelines to ensure accuracy of high priority datasets using tools such as Lakehouse Monitoring, Montecarlo etc.

Qualifications Bachelor’s degree in Business Analytics, Economics, Statistics, Engineering, Computer Science or related area; Master’s degree a plus 5+ years of hands-on experience in data with a deep understanding of data engineering best practices and datawarehousing principles Expert in analytics tech stack and scripting/automation – Databricks, Fivetran, SQL, Python, DBT, Git

Experience: with cloud technologies, such as S3, ECS, EMR, lambdas, Glue We operate like a start up

• You have to be a quick learner, very quick on your feet and self sufficient Comfortable working in a fast-paced, agile environment Strong communication skills, attention to detail and ability to partner effectively with extended team and stakeholders PREFERRED EXPERIENCE:

Experience: in data engineering or analytics supporting large-scale capital programs, infrastructure projects, or construction.

Familiarity with data ecosystems and ERPs common in the Commercial Real Estate (CRE) industry, particularly from an owner's, operator's, or developer's perspective.

Pay Disclosure

Salary: Range for this role is $111,000 - $138,700 for Georgia based applicants.

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.

An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

The successful candidate may be eligible for annual performance bonus and equity awards.

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees.

You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements.

Full-time employee coverage is effective on their first day of employment.

Part-time employee coverage is effective the first of the month following 90 days of employment.

More information about benefits is available at rivianbenefits.com.

You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee).

This job is not expected to be closed any sooner than February 6, 2026.

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 at candidateaccommodations@rivian.com.

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.

Own and drive the design, development and implementation of Facilities data pipelines and data + analytics catalog (ELT) to provide stakeholders access to structured data Build and maintain large scale data pipelines from internal and external data sources into our datalake on Databricks – you will be building the data ingestion and transformation layer, including bronze, silver and gold tables Build modular set of data services using SQL, Python, DBT, AWS services, and other tools with appropriate controls as set by Data Governance policy Automate and schedule jobs and optimize for performance Implement observability on pipelines to ensure accuracy of high priority datasets using tools such as Lakehouse Monitoring, Montecarlo etc.

Bachelor’s degree in Business Analytics, Economics, Statistics, Engineering, Computer Science or related area; Master’s degree a plus 5+ years of hands-on experience in data with a deep understanding of data engineering best practices and datawarehousing principles Expert in analytics tech stack and scripting/automation – Databricks, Fivetran, SQL, Python, DBT, Git

Experience: with cloud technologies, such as S3, ECS, EMR, lambdas, Glue We operate like a start up

• You have to be a quick learner, very quick on your feet and self sufficient Comfortable working in a fast-paced, agile environment Strong communication skills, attention to detail and ability to partner effectively with extended team and stakeholders PREFERRED EXPERIENCE:

Experience: in data engineering or analytics supporting large-scale capital programs, infrastructure projects, or construction.

Familiarity with data ecosystems and ERPs common in the Commercial Real Estate (CRE) industry, particularly from an owner's, operator's, or developer's perspective.