Data Engineer II
: Job Details :

Cond 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, Cond Nast Traveler/Traveller, Allure, AD, Bon Apptit and Wired, among others.Job DescriptionLocation:New York, NYCond Nast is a premier media company renowned for producing the highest qualitycontent for the world's most influential audiences, attracting more than 100 millionconsumers across its industry-leading print, digital and video brands.Cond Nast is home to many of the world's most-celebrated magazine and website brands.The company's reputation for excellence is the result of our commitment to publishing thebest consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, VanityFair, The New Yorker, Wired, and many more. Passion is the core of our philosophy atCond Nast. Our mission is not only to inform readers but to ignite and nourish theirpassions.The Data Solutions Engineering team have a wide range of responsibilities and play acritical role in shaping how Cond Nast enables its business using data. The team isresponsible for building data pipelines, data products and tools that enable our DataScientists, Analysts in various business units, Business Intelligence Engineers and Executivesto solve challenging use cases in our industry.We are seeking a Data Engineer who will build and maintain data pipelines across businessareas such as subscriptions, video, clickstream, commerce, social and advertising withinCond Nast. If you are looking for a challenging environment and to work with a world classteam of data engineers in a well balanced environment and seasoned company, come joinus:RESPONSIBILITIESResponsibilities include, but are not limited to:•Design, build and test batch and streaming data pipelines•Build efficient code to transform raw data into datasets for analysis, reporting andmachine learning models•Work with data scientists to deploy machine learning model outputs into CEPs forrecommendations and personalizations•Collaborate with other data engineers, data scientists and product managers toimplement a shared technical vision•Participate in the entire software development lifecycle, from concept to release•Contribute to shared data engineering tooling & standards to improve productivity•Support, monitor and optimize current and future data infrastructure and platform•Provide technical guidance and mentorship to junior engineers•Evaluate technologies and conduct proof-of-conceptsMINIMUM QUALIFICATIONS•Applicants should have a degree (B.S. or higher) in Computer Science or a relateddiscipline or relevant professional experience•3+ years of software development experience designing scalable & automatedsoftware systems•Experience in processing structured and unstructured data into a form suitable foranalysis and reporting•Experience with data modelling, batch data pipeline design and implementation•Experience building batch or real-time data pipelines•Strong software development skills with high proficiency in Python/PySpark or Scala•High Proficiency in SQL•Experience with data processing frameworks such as Apache Spark (we useDatabricks)•Experience with data transformation tools such as dbt Cloud•Experience in cloud-based infrastructures such as AWS or GCP•Exposure to orchestration platforms such as Airflow (we use Astronomer)•Proven attention to detail, critical thinking, and the ability to work independentlywithin a cross-functional team•Comfortable with CI/CD (we use GitHub Actions) Pipelines•Experience with Git version control, and other software adjacent tools•NYC Pay Range: $140,000.00-155,000.00What 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.Cond 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.