Data Engineer - Level II

The Data Solutions Engineering team at Condé Nast is seeking a Data Engineer - Level II to design, build, and maintain data pipelines across various business areas like subscriptions, video, and advertising. This role involves transforming raw data into datasets for analysis, reporting, and machine learning models, collaborating with data scientists and product managers, and contributing to shared data engineering tooling and standards. The engineer will also support and optimize data infrastructure and provide technical guidance.

Must Have

• Degree (B.S. or higher) in Computer Science or related discipline or relevant professional experience
• 5+ years of software development experience designing scalable & automated software systems
• Experience processing structured and unstructured data for analysis 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 (Databricks)
• 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 (Astronomer)
• Comfortable with CI/CD Pipelines (GitHub Actions)
• Experience with Git version control
• Familiarity with Terraform

About The Role :

The Data Solutions Engineering team has a wide range of responsibilities and plays a critical role in shaping how Condé Nast enables its business using data. The team is responsible for building data pipelines, data products, and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers and Executives to solve challenging use cases in our industry.

We are seeking a Data Engineer who will build and maintain data pipelines across business areas such as subscriptions, video, clickstream, commerce, social and advertising within Condé Nast. If you are looking for a challenging environment and to work with a world class team of data engineers in a well balanced environment and seasoned company, come join us:

About Responsibilities:

Responsibilities 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 and machine learning models
• Work with data scientists to deploy machine learning model outputs into CEPs for recommendations and personalizations
• Collaborate with other data engineers, data scientists and product managers to implement 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-concepts

MINIMUM QUALIFICATIONS

• Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience
• 5+ years of software development experience designing scalable & automated software systems
• Experience in processing structured and unstructured data into a form suitable for analysis 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 use Databricks)
• 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 independently within a cross-functional team
• Comfortable with CI/CD (we use GitHub Actions) Pipelines
• Experience with Git version control, and other software-adjacent tools
• Terraform is used as an infrastructure-as-a-service tool.

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.

Condé 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.