Big Data Engineer II

3 weeks ago


Herndon, Virginia, United States Amazon Full time
Job Description

We are seeking an experienced Data Engineer II to join our Managed Operations Engineering team. The ideal candidate will have a strong background in data engineering, experience with data modeling, warehousing, and building ETL pipelines, as well as knowledge of distributed systems as it pertains to data storage and computing.

The successful candidate will be responsible for designing, building, and maintaining efficient, scalable, and reliable data pipelines to ingest, transform, and load data from various sources into a unified data platform. They will collaborate with business and software teams to understand their business requirements and operational processes, to inform system design.

The role involves developing robust data models and architectures that support the organization's data-driven initiatives, ensuring data quality, consistency, and accessibility. Additionally, they will design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.

About Us

AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

What You'll Do

• Design, build, and maintain efficient, scalable, and reliable data pipelines to ingest, transform, and load data from various sources into a unified data platform
• Collaborate with business and software teams to understand their business requirements and operational processes, to inform system design
• Develop robust data models and architectures that support the organization's data-driven initiatives, ensuring data quality, consistency, and accessibility
• Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying
• Create, enhance, and maintain technical documentation

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Salary and Benefits

We offer a competitive salary of $120,000 - $160,000 per year, depending on experience, plus benefits including medical, dental, and vision insurance, 401(k) matching, and paid time off.

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