Description

Cutting edge big data technology with Spark, Kubernetes, Glue, SageMaker, and Airflow? Check. Deep involvement with business strategy decisions? Check. Work across one of the world's largest and most complex data environments? Check.

Are you excited about the idea to work with big data resources and technologies? Are you up to the challenge of working with top PhD economics and data science researchers to bring cutting edge econometric science to production? Are you ready to build data pipelines and integrate AWS services that inform billion dollar business decisions across Amazon? If your answer is yes, come join us!

We are a hybrid research + engineering team that brings disruptive econometric models to life in the media entertainment and advertising domains. As an experienced Software Engineer, you will collaborate with economists, data scientists, and developers across the company to develop, test and deploy science products that implement a wide range of data pipelines and models. You will also build and support self service tools for scientists to automate their own prototypes. A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working with data in a high-impact business domain.

This is an opportunity to create and build software for advanced data analytics to support and enable data-driven decision making inside Amazon’s fast growing advertising businesses.

Key job responsibilities

• Create and support AWS based services and data platforms that feed input to and serve output from machine learning / econometric models

• Develop and extend reusable libraries for quickly rolling out new data pipelines

• Establish key relationships which span Amazon business units and Business Intelligence teams.

• Create and drive data governance strategies for disparate data sources across the company

• Implement standardized, automated operational and quality control processes to deliver accurate and timely data to meet or exceed SLAs.

• Create and review technical requirement and design documents, working backward from customer needs.

A day in the life

You'll spend most the day coding, possibly writing or testing Spark jobs, updating our reusable python libraries, or tweaking an Apache Airflow graph. You'll join a daily standup and sync with your team mates, and maybe perform a code review or two. Depending on the project phase you may be finishing up your design document for review with your fellow engineers or scientists. Finally you'll probably join a couple of meetings, either related to your project, Sprint Planning, or maybe even a fun team event!

About the team

We're a pretty atypical team at Amazon, with engineers outnumbered by scientists 3 to 1. Our mission is to 1) productionize science prototypes into well tuned, scaled systems and 2) support and improve data infrastructure for scientists to quickly prototype new ideas and models. You'll be working closely on your projects not just with other data or software engineers, but with Business Intelligence Engineers, Economists, and Data Scientists. Your engineering background and experience is critical to building reliable, cost effective products for our business partners and Amazon customers.

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

New York, NY, USA

Basic Qualifications

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

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

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 $115,000/year in our lowest geographic market up to $223,600/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.