Data Engineer
Plano, United States
Toyota North America
Explore the newest Toyota trucks, cars, SUVs, hybrids and minivans. See photos, compare models, get tips, calculate payments, and more.Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently.
Who We're Looking For
Toyota is looking for a dynamic and highly motivated Data Engineers to join our team.
What You'll Be Doing
Supports design, development, and maintenance of scalable data pipelines and architectures to support data integration, transformation, and loading (ETL) processes.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that drive business insights and decision-making.
Optimize and improve existing data systems for performance, reliability, and scalability.
Facilitate implementation of data governance and security measures to ensure data integrity and compliance with industry standards.
Develop and maintain documentation for data processes, systems, and workflows.
Monitor and troubleshoot data pipelines to ensure data quality and availability.
Drive continuous improvement initiatives by identifying opportunities for automation and process enhancements.
Stay updated with the latest industry trends and technologies to drive innovation within the data engineering domain.
What You Bring
Bachelor's degree in Computer Science, Engineering, or a related field.
Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, Google Cloud).
Proficiency in programming languages such as Python, Java, or Scala.
Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
What We’ll Bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
A work environment built on teamwork, flexibility and respect
Professional growth and development programs to help advance your career, as well as tuition reimbursement
Team Member Vehicle Purchase Discount
Toyota Team Member Lease Vehicle Program (if applicable)
Comprehensive health care and wellness plans for your entire family
Flextime and virtual work options (if applicable)
Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
Paid holidays and paid time off
Referral services related to prenatal services, adoption, child care, schools and more
Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
Belonging at Toyota
Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data BigQuery Computer Science Data governance Data pipelines Data quality Data Warehousing Engineering ETL GCP Google Cloud Hadoop Java Kafka MySQL Oracle Pipelines PostgreSQL Python Redshift Scala Security Snowflake Spark SQL
Perks/benefits: 401(k) matching Career development Health care Startup environment Wellness
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