Job Description
Join to apply for the Senior Analytics Engineer role at Rivian and Volkswagen Group Technologies
Join to apply for the Senior Analytics Engineer role at Rivian and Volkswagen Group Technologies
About Us
Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.
About Us
Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.
The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.
Role Summary
RVT is seeking a passionate and data-driven Senior Analytics Engineer to join our Enterprise Analytics Team. In this pivotal role, you'll be instrumental in delivering impactful insights that drive strategic decision-making across the organization. You'll bridge the gap between complex business challenges and data-driven solutions through comprehensive stakeholder management , meticulous requirements gathering , and thorough data collection and research.
As a Senior Analytics Engineer, you'll leverage your expertise to build robust data pipelines , create intuitive and powerful dashboards , and ensure data quality and accessibility. You'll also play a key role in user education and training , empowering our teams to effectively utilize analytical tools and insights. This position requires a deep understanding of data warehousing principles, advanced SQL, and proficient Python for data transformation and automation. The ideal candidate thrives in ambiguous environments, possesses exceptional problem-solving skills, and is adept at collaborating with diverse stakeholders to translate business needs into scalable data solutions. A significant focus of this role will be to spearhead the strategic migration towards a next-generation analytical toolset, identifying and implementing modern solutions that enhance efficiency, accessibility, and analytical capabilities.
Responsibilities
Data Model Design & Development: Design, develop, and maintain robust and scalable data models within our data warehouse, ensuring data integrity and optimal performance for analytical consumption.
ETL/ELT Pipeline Engineering: Build, optimize, and manage complex data pipelines (ETL/ELT) to ingest, transform, and integrate data from various disparate sources, ensuring accuracy, reliability, and timeliness.
Data Quality & Governance: Implement and enforce data quality standards, monitor data pipelines, and troubleshoot data issues to ensure the reliability and accuracy of our analytical datasets.
Performance Optimization: Identify and implement performance optimizations across data models and queries to enhance the speed and efficiency of data access for analysts and business users.
Tooling & Infrastructure Development: Evaluate, recommend, and implement modern data tooling and infrastructure improvements to enhance our analytical capabilities and data platform.
Cross-Functional Collaboration: Partner closely with data scientists, analysts, and business stakeholders to understand data requirements and translate them into well-engineered data solutions.
Documentation & Best Practices: Create comprehensive documentation for data models, pipelines, and processes, and promote best practices for data engineering and analytics within the team.
Mentorship & Leadership: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and excellence in data engineering.
Qualifications
Required:
Office Location Requirement: Ability to work from Palo Alto, California at least three days per week is required for this role.
Education: Bachelor’s Degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, or a similar discipline).
Experience: Over 5+ years of proven experience in senior or staff positions focused on data engineering, analytics engineering, or similar roles with a strong emphasis on data infrastructure and modeling.
Must-Have Skills
Advanced SQL Expertise: Deep proficiency in writing complex, optimized SQL queries, data manipulation, performance tuning, and understanding various SQL dialects.
Python for Data Engineering: Strong ability to write clean, efficient, and scalable Python code for data extraction, transformation, loading, and automation of data workflows.
Data Warehousing Principles: Solid understanding of data warehousing concepts, dimensional modeling, and schema design (e.g., star schema, snowflake schema).
Collaborative Software Development: Proficiency with industry best practices and tools for collaborative software development, including version control (Git/GitHub/GitLab), testing, and CI/CD pipelines.
Problem-Solving & System Design: Strong analytical and problem-solving skills with a passion for designing and building efficient, maintainable, and scalable data systems.
Communication & Collaboration: Excellent communication and collaboration skills are essential, as you'll partner with and support colleagues across the business with varying levels of technical expertise.
Nice-to-Have Skills
DBT Experience: Hands-on experience with dbt (data build tool) for data transformation and modeling.
Cloud Data Platforms: Experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, Amazon Redshift) and related cloud services.
Data Quality & Governance: Experience with data quality, data security, and monitoring initiatives.
Data Ingestion Tools: Experience with modern data ingestion tools like Fivetran, Airbyte, or similar.
BI Tooling Experience: Familiarity with at least one major BI tool (Tableau, Qlik, Power BI, Hex) with the ability to understand how data models support visualization needs.
Pay Disclosure
Salary Range/Hourly Rate for California Based Applicants: $132,100 - $165,100. (actual compensation will be determined based on experience, location, and other factors permitted by law).
Benefits Summary: Rivian and Volkswagen Group Technologies 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.
Equal Opportunity
Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.
Rivian and Volkswagen Group Technologies 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 and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) 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 and Volkswagen Group Technologies 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 and Volkswagen Group Technologies 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 and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.
Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, 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 see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.
Please note that we are currently not accepting applications from third party application services.
Seniority level Seniority level Not Applicable
Employment type Employment type Full-time
Job function Job function Information Technology
Industries Software Development
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Job Tags
Hourly pay, Full time, Contract work, Work at office, 3 days per week,
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