Big Data Full Stack Engineer

Key Skills

AWS, Bash scripting, ETL/ELT technologies, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Python Programming, Scala Programming, SQL

Job Description

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.

This position is based in Plano TX

Toyota encourages all employees to live within a reasonable commuting distance of their assigned work location. Hybrid work from outside of the assigned work location may be permitted in a pre-approved list of states (AZ, CA, CO, GA, IL, IN, KY, MA, MI, MO, NJ, NY, OH, OR, TN, TX, VA, WV) with certain stipulations.

Speak with your recruiter and hiring manager to learn more about our hybrid work program.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Who we’re looking for:

Toyota’s Data and Analytics Department is looking for a passionate and highly motivated Big Data Full Stack Engineer.

The primary responsibility of this role is to develop best-in-class data engineering solutions with cutting-edge technologies guided by principles of agility, DevSecOps, and continuous innovation. This is an individual contributor role that requires working with data science teams across the company and developing data engineering solutions to ensure the successful implementation of AI/ML initiatives with high standards of performance, and scalability while optimizing the cost and using emerging technologies in the Data universe. Reporting to the Manager, Data Science Platform, the person in this role will support the Data and Analytics department's objective to accelerate insights and drive business value by unleashing the power of data.

What you will be doing:

• Design and develop highly scalable and state-of-the-art big data solutions in AWS and GCP to enable advanced analytics capabilities in the company.
• Design and build scalable data pipelines with optimal data ingestion, extraction, transformation, and loading (ELT, ETL) of data from a wide variety of data sources using Big Data and Integration technologies.
• Develop data models and features required for data scientists to build data science models.
• Perform design, feature, and code reviews to drive excellence in engineering and ensure high quality & maintainability.
• Support the build of analytics tools that utilize the data pipeline to provide actionable insights for business stakeholders, including data preparation for predictive and prescriptive modeling.
• Be current on the latest industry developments and trends to help lead the development of system/process improvements.
• Collaborate with Product owners, Data Scientists, Platform Teams, Business SMEs as well as different sub-groups within the Data organization to effectively lead data and analytics solutions.

What you bring:

• Bachelor’s degree in Information Systems, Computer Science, or related discipline or equivalent work experience.
• 5 years of demonstrated experience in developing big data solutions that support business analytics and data science teams.
• 8 or more years of proficient experience developing data platforms, data warehouses, ETL/ELT pipelines, and programming in SQL, Python, Java, Scala-Spark, Bash, and other scripting languages.
• Strong knowledge and hands-on experience in Big Data technologies in Cloud such as AWS EMR, Apache Spark, Databricks, AWS Redshift, Snowflake, S3, GCP Big Query, Google Cloud Storage, and Google Data Proc.
• Competent with various batch & real-time streaming ingestion patterns with Sqoop, Kafka, Kinesis, and GCP Pub/Sub.
• Proven leadership in cloud administration with an emphasis on infrastructure automation (Terraform, Cloud Formation) and provisioning Lambda, SNS, EC2, Airflow, Elastic Cache, Redis, RESTful APIs in AWS
• Knowledge of DevOps methodology and automation experience with Jenkins, Ansible, Chef, XL Release, and XL Deploy
• Ability to research the latest trends and propose advanced tooling/solutions for data virtualization & digital twin concepts.
• Strong written and verbal communication skills with the ability to create and present concepts, roadmaps, and recommendations to executive management.

Bonus if you have:

• Master’s degree in Computer Science or related discipline.
• AWS/GCP cloud certifications.
• AWS/GCP Data Engineering certifications.
• Experience with Automobile and/or Manufacturing organizations.

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.
• Vehicle purchase & lease programs.
• 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, childcare, schools, and more.
• Flexible spending accounts.
• Relocation assistance (if applicable).

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 or need assistance with your application? Please send an email to talent.acquisition@toyota.com.