Senior Engineer - Data Engineering
Toyota USA2 days ago
Plano, TX, USASenior
Responsibilities
- Implement technical solutions aligned with architectural decisions and enterprise standards.
- Design, develop, and maintain scalable data pipelines using Python, Databricks, and Apache Airflow or AWS Step Functions.
- Implement and optimize ETL processes that move data from enterprise sources into product datastores.
- Collaborate with Business Product Owners and cross-functional teams to refine requirements and integrate data engineering solutions.
- Apply data quality and validation techniques and troubleshoot data-related issues.
- Conduct technical design, development, code reviews, and code-quality improvements.
- Ensure security, performance, scalability, and system integration requirements are met.
- Prototype solutions, evaluate emerging tools, and spend time with supply chain operations users to ensure solutions reflect business needs.
Requirements
- At least five years of hands-on experience with modern data engineering technologies and data architecture or integrations.
- At least five years of experience creating end-to-end data engineering pipelines handling large data volumes for data science and business analytics.
- At least three years of experience with ETL pipelines, Python, and SQL.
- Proficiency with PySpark, Scala-Spark, scripting languages, Databricks, and AWS Glue.
- Practical experience with AWS EMR, Apache Spark, Databricks, AWS Redshift, S3, Apache Airflow, and AWS Step Functions.
- Experience with log monitoring and error-notification tools such as Datadog, CloudWatch, and Grafana.
- Experience provisioning AWS services with Terraform and CloudFormation.
- Understanding of DevOps practices, CI/CD pipelines, agile methodologies, and version control systems such as Git.
- Strong problem-solving, communication, collaboration, and technical design skills.
- Preferred qualifications include Java and Java-streaming development, AI/ML data pipelines, feature-engineering workflows, model-training data preparation, prompt engineering, model evaluation, AI governance, GitHub Copilot, large-scale application transformation, AWS Certified Developer certification, supply chain experience, and production LLM or AI-agent workflows.
Benefits
- The position is based at Toyota Motor North America Headquarters in Plano, Texas.
- Benefits include professional growth programs, tuition reimbursement, vehicle purchase and lease programs, health and wellness plans, a Toyota 401(k) plan with company matching and an annual retirement contribution, paid holidays and time off, tax-advantaged accounts, referral services, and relocation assistance when applicable.
Tech Stack
Categories
Data Engineering
About Toyota USA
Toyota USA (Toyota Motor North America) manufactures and sells Toyota cars, trucks, and SUVs for U.S. customers, and provides financing and mobility services. Founded in 1957 and headquartered in Plano, Texas, it oversees North American operations and plants that build models like the Camry and Tundra, and is expanding battery and EV production in Kentucky and North Carolina.