As a Data Engineer within the MOTOR organization, you will design and implement data pipelines and infrastructure that enable analytics across manufacturing, transportation, and reverse logistics inside AWS data centers.
Responsibilities
- Build and maintain data infrastructure to answer business questions using software engineering best practices, data management fundamentals, data storage principles, distributed systems advances, and operational excellence standards. Create datasets for analysts and scientists to generate actionable insights.
- Define data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost efficiency, and storage requirements.
- Develop high quality solutions that accelerate product and model development in a scalable format, while anticipating future needs.
- Collaborate with Research and Applied Scientists, Data Engineers, BI Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand requirements and make decisions that streamline programs and products.
- Interface with other technology and data engineering teams to extract, transform, and load data from diverse sources using AWS data technologies.
- Lead the technical design and implementation of the data infrastructure.
- Design and manage data audit, quality, and reconciliation processes in partnership with stakeholders.
Requirements
- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with CI/CD pipelines and build processes
- Proficiency in one or more scripting languages (e.g., Python, Ruby, Perl)
- Experience working with Git or an equivalent distributed version control system
Technologies
- Python
- Ruby
- Perl
- Git
- Redshift
- S3
- AWS Glue
- EMR
- Kinesis
- FireHose
- Lambda
- IAM
Benefits
- Health insurance including medical, dental, vision, prescription coverage, Basic Life & AD&D, with options for supplemental life plans, EAP, mental health support, medical advice line, Flexible Spending Accounts, and Adoption/Surrogacy reimbursement
- Sign-on payments
- Restricted stock units (RSUs)
- 401(k) matching
- Paid time off
- Parental leave
About the Team
This team provides data engineering and business intelligence services to the rest of MOTOR. We are the data experts behind the scenes, enabling operational teams to focus on day-to-day operations by ensuring accurate and timely data and delivering insights that drive operational excellence.
Why AWS
Amazon Web Services is a leading cloud platform characterized by breadth and depth of services. AWS supports customers from startups to Global 500 companies, delivering robust tools to power diverse business needs and innovative workloads in the cloud.
Diverse Experiences
Amazon values diverse backgrounds and experiences. Candidates who do not meet every listed qualification are encouraged to apply. Nontraditional career paths or alternative experiences are welcome, and we value transferable skills and potential.
Work/Life Balance
We support a flexible approach to work that promotes harmony between professional and personal commitments. A supportive environment and balanced expectations enable sustained performance and long-term success.
Inclusive Team Culture
AWS champions a culture of inclusion and curiosity. Employee-led affinity groups and ongoing learning events foster a sense of belonging and opportunity to engage across differences, including initiatives focused on race, ethnicity, and gender diversity.
Mentorship and Career Growth
We continually raise the performance bar and provide opportunities for knowledge sharing, mentorship, and career development to help you grow into a more well-rounded professional within the organization.
