Sr. Data Engineer jobs in United States
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Toyota North America · 3 days ago

Sr. Data Engineer

Toyota North America is a leading automotive company focused on innovative solutions for mobility. They are seeking a Senior Data Engineer to design, develop, and maintain scalable cloud infrastructure for data platforms and build data engineering pipelines to support analytics and reporting needs.

Manufacturing
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Comp. & Benefits
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Responsibilities

Develop, and maintain scalable, secure, and cost-optimized cloud infrastructure for Data Lake, Data Warehouse, and analytics platforms using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or equivalent
Develop automations for provisioning, configuration, and deployment of cloud resources (e.g., AWS S3, Redshift, Databricks, Sagemaker, EMR, Lambda, EC2, SNS, Elastic Cache) to support data engineering workloads
Collaborate with data architects and business stakeholders to design effective relational and dimensional data models that simplify data consumption and reporting
Build and maintain CI/CD pipelines for data platform components and data engineering workflows using Jenkins, Ansible, Chef, XL Release, XL Deploy, or similar tools
Monitor system performance, troubleshoot incidents, and implement continuous improvements to enhance platform reliability and scalability
Follow cloud and security standards to implement infrastructure security best practices, including network segmentation, IAM policies, encryption, and compliance controls
Build and maintain platform health checks, monitoring, alerting, and resiliency mechanisms to ensure high availability and performance of data systems
Develop, and maintain end-to-end data engineering pipelines using Apache Spark, Scala, Databricks, and Informatica ETL tools to ingest, transform, and load large-scale datasets
Develop automation frameworks for pipeline testing, validation & Observability solutions to track data quality, timeliness, and accuracy
Stay current with emerging technologies, industry trends, and competitive product stacks to recommend innovative solutions and maintain a competitive edge
Document technical designs, operational procedures, and best practices to facilitate knowledge sharing and team onboarding

Qualification

AWSData EngineeringInfrastructure as CodeApache SparkSQLETL/ELTPythonCloud SecurityEagerness to LearnCommunication SkillsProblem-Solving SkillsCollaboration

Required

Bachelor's Degree in Information Systems, Computer Science, or related discipline or equivalent work experience
Hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
3-5 years of developing Infrastructure as Code (IaC) tools with Terraform, AWS CloudFormation, or Azure ARM template for provisioning and managing cloud resources relevant to data platforms (e.g., S3, EC2, Lambda, RDS, SNS, Restful APIs, CloudWatch etc)
2-3 yrs of experience developing data pipelines using Spark, Scala, Python, Databricks or Spark platforms
Knowledge of ETL/ELT concepts and tools like Informatica and good understanding of relational and dimensional data modeling principles to support simplified data consumption
Strong experience writing and optimizing SQL queries for data analysis, extraction, transformation, and loading
Skilled in cloud security fundamentals, including IAM roles, policies, and encryption algorithms
Proficient in developing monitoring & alerting solutions for platform availability, data pipelines, infrastructure health checks, performance, and cost observability
Proven experience with automations using Python, Bash, or PowerShell and building DevOps solutions with GitHub, Jenkins, Ansible, or similar
Experience with BI / Analytics platforms like Alteryx, Dataiku, Google Looker, Microsoft PowerBI or similar
Strong problem-solving skills, adept with documenting processes, workflows, and technical solutions clearly
Good communication skills to collaborate effectively with cross-functional teams including product owners, architects, and developers
Eagerness to learn emerging technologies and industry best practices related to cloud data engineering

Preferred

AWS/GCP cloud or Data Engineering certifications
DevOps solutions

Benefits

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
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)

Company

Toyota North America

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At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story.

Funding

Current Stage
Late Stage
Total Funding
$4.5M
Key Investors
ARPA-E
2024-12-18Grant· $4.5M

Leadership Team

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Tetsuo Ogawa
CEO
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Brian Kursar
Group Vice President - Head of Enterprise AI
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Company data provided by crunchbase