Data Engineer II, Managed Operations Intelligence (MOI) Team - Data Engineering

What you get

Join AWS on site in Arlington, VA as a Data Engineer II on the Managed Operations Intelligence team. The role offers a competitive annual salary in the range of USD 132,100 to 178,800, with opportunities to collaborate across software, data science, and product management to optimize growth, strategy, and user experience across AWS.

Benefits

• Health insurance
• 401(k) matching
• Sign-on payments
• Restricted stock units (RSUs)
• Paid time off
• Parental leave

Responsibilities

• Collaborate with business and software teams to gather requirements and operational processes that inform system design
• Develop robust data models and architectures that support data driven initiatives, ensuring data quality, consistency and accessibility
• Design, build, and maintain scalable data pipelines to ingest, transform, and load data from multiple sources into a unified data platform
• Design and implement scalable data solutions that manage growing data volumes and support high performance data access and querying
• Design, provision, and maintain scalable data infrastructure on AWS including Glue, Lake Formation and S3 to support ingestion, transformation, and governance of operational data across development, gamma, and production environments
• Create, enhance, and maintain technical documentation

Requirements

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

Technologies

• Python
• Java
• Scala
• NodeJS
• AWS Glue
• Lake Formation
• S3
• Redshift
• EMR
• Kinesis
• FireHose
• Lambda
• IAM

A Day in the Life

• Data Engineering: Guide teams in building optimal data artifacts such as datasets and visualizations to address key questions. Refine systems, design solutions, and create scalable data models while ensuring data security and quality
• Product Leadership: Use data to identify opportunities and drive innovative solutions that support AWS strategy
• Communication and Influence: Communicate data driven insights with clear recommendations and serve as a trusted partner within the organization

About the Team

Our team is committed to supporting new members and fostering knowledge sharing and mentorship. Senior colleagues provide one on one mentoring and constructive code reviews. We focus on career growth and strive to assign projects that help engineers expand their expertise and take on more complex tasks.

Diverse Experiences

AWS values diverse experiences. Candidates who do not meet every preferred qualification are encouraged to apply. We welcome early career candidates and nontraditional backgrounds, and the team welcomes varied experiences.

About AWS

Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform. AWS pioneered cloud computing and continues to innovate to power customers ranging from startups to Global 500 companies.

AWS Infrastructure Services

AWS Infrastructure Services designs, plans, delivers and operates AWS global infrastructure. We maintain data centers and critical systems to ensure continual access to AWS services. We tackle complex problems with many variables and are looking for talented people to join our team.

Inclusive Team Culture

AWS promotes curiosity and connection through employee led and company sponsored affinity groups that foster inclusion. We support ongoing innovation with bold ideas and diverse perspectives.

Mentorship & Career Growth

We aim to raise our performance bar and offer ongoing knowledge sharing, mentorship and career development resources to help you grow as a professional.

Work/Life Balance

We support work life harmony and offer flexibility to help you balance responsibilities at home with successful work outcomes. A supportive environment enables cloud innovation.