Data Engineer II

Conde Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit and Wired, among others.

Job Description

Location:

New York, NY

Data Engineer II wanted by Advance Magazine Publishers Inc. d/b/a Conde Nast in New York, New York.

Design, build and test batch and streaming data pipelines. Build code to transform raw data into datasets for analysis, reporting and machine learning models. Work with data scientists to deploy machine learning model outputs into CEPs. Contribute to shared data engineering tooling and standards to improve productivity. Support, monitor, and optimize current and future data infrastructure and platform.

REQUIRES: Bachelor's degree in Computer Science or closely related field and 2 years of experience in the job offered or in Software Development. Requires 2 years of experience with data pipeline design and implementation and 2 years' experience using Python, SQL, and Apache Spark. Salary range from $118,000 - $148,000 per year.

Send resume: HR, Attn. Naomi Castillo, 34th floor, Advance Magazine Publishers Inc. dba Conde Nast, 1 World Trade Center, New York, NY 10007 or apply online at https://www.condenast.com/careers. Refer to job code: R-16119

What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Conde Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.