Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Amazon Software Dev Engineer, BDT Compute-Engine in New York, New York

Description

Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, Spark and Oracle. We build scalable solutions that grow with the Amazon business.

BDT is growing, and the data processing landscape is shifting. Our data is consumed by thousands of teams across Amazon including Research Scientists, Machine Learning Specialists, Business Analysts and Data Engineers. BDT team is building an enterprise-wide Data Lake leveraging AWS technologies. We enable teams at Amazon to produce analytical data in any form of storage (S3, DynamoDB, Aurora, etc.) and process that data using any type of compute environment such as EMR/Spark, Redshift, Athena, Apache Flink and others via a common bus. We are developing innovative products including the next-generation of data catalog, data discovery engine, data transformation platform, and more with state-of-the-art user experience. We’re looking for top engineers to build them from the ground up.

This is a hands-on position where you will do everything from designing and building extremely scalable components and cutting-edge features to formulating strategy and direction for data processing at Amazon. You will also mentor junior engineers and work with the most sophisticated customers in the business to help them get the best results. You need to not only be a top software developer with excellent programming skills, have an understanding of data processing and parallelization, and a stellar record of delivery, but also excel at leadership and customer obsession and have a real passion for massive-scale computing.

Your responsibilities will include:

Keeping your finger on the pulse of the constantly evolving and growing data processing and data lake field

Translation of complex functional and technical requirements into detailed architecture and design

Delivering systems and features with top-notch quality, on time

Stay current on technical knowledge to keep pace with rapidly changing technology, and work with the team in bringing new technologies on board

Come help us build for the future of Data Lake!

We are open to hiring candidates to work out of one of the following locations:

New York, NY, USA

Basic Qualifications

  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design

  • 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

  • 1+ years of non-internship professional software development experience

Preferred Qualifications

  • Experience with building of RESTful services for web applications and/or system integration

  • Experience with web development stacks, including one or more major JavaScript frameworks (React, Angular, etc)

  • Experience with ETL (Extract Transform Load), Data Warehousing systems, and Big Data technologies

  • Experience ensuring code is well tested using automated Unit and Integration testing

  • Experience using highly-automated build and delivery pipelines

  • Linux, UNIX, UNIX tools

  • Bachelor's in Computer Science, Electrical Engineering or related field

  • Experience in communicating with customers, technical, business teams and management to collect requirements, describe product features, and technical designs.

  • Experience with large scale systems

  • Ability to excel in a fast-paced, startup-like environment

  • Experience working with AWS technologies like API Gateway, Lambda, Dynamo DB, Redshift, S3, EC2.

  • Experience working with big data tools such as Apache Beam, Apache Flink, or Apache Spark

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $88,400/year in our lowest geographic market up to $200,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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