Data Engineer II, Managed Operations Data Science (MODS) at Amazon

Amazon Web Services (AWS) is the world leader in providing a highly reliable scalable low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world! The AWS Managed Operations (MO) organization was founded in April 2023 with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability reliability latency performance and efficiency to operate AWS regions.As a Data Engineer your technical skills and analytical mindset will be utilized designing and building some of the worlds most extensive data sets helping to craft AWS strategic this role you will collaborate with software engineering data science and product management teams to design/build scalable data solutions across AWS to optimize growth strategy and user experience across AWS. Data Engineering: Guide teams in building optimal data artifacts (datasets visualizations) to address key questions. Refine systems design solutions and create scalable data models. Ensure data security and quality while suggesting efficient architecture development approaches and data management standards for complex analytical problems.Product Leadership: Use data to identify opportunities and tackle challenges. Ensure data artifacts/components deliver value by supporting AWS strategy and driving innovative solutions.Communication and Influence: Tell data-driven stories that convince and influence partners. Build credibility with clear insights structured recommendations and serve as a trusted partner within the organization.This role will sit in our new headquarters in Northern Virginia where Amazon will invest $2.5 billion dollars occupy 4 million square feet of energy efficient office space and create at least 25000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates public transportation improvements and new access to Reagan National Airport.By working together on behalf of our customers we are building the future one innovative product service and idea at a time. Are you ready to embrace the challenge Come build the future with us.This position requires that the candidate selected be a U.S. Citizen.10012Key job responsibilities- Collaboration and Product Development: Interact with business and software teams to understand their business requirements and operational processes to inform system design- Data Modeling and Architecture: Develop robust data models and architectures that support the organizations data-driven initiatives ensuring data quality consistency and accessibility.- Data Pipeline Development: Design build and maintain efficient scalable and reliable data pipelines to ingest transform and load data from various sources into a unified data platform.- Scalability and Performance: Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.- Documentation & Continuous Improvement: Create enhance and maintain technical documentationAbout the teamWhy AWSAmazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (IoT) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences conferences inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.Mentorship and Career GrowthWere continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.- 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- 5 years of data engineering experience- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissionsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site. Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full-Time Department / Functional Area: Data Engineering Experience: years Vacancy: 1 Yearly Salary Salary: 118900 - 205600