Data Engineer I

Conde Nast; World Trade Center (NY); On-site; USD 119,000 - 137,000; Full time

Job summary

An established industry player is seeking a Data Engineer to join their innovative Data Solutions Engineering team. This role involves designing and building robust data pipelines that process large volumes of data, enabling various business units to leverage insights effectively. The ideal candidate will have a strong background in data processing, cloud infrastructures, and a passion for problem-solving. Join this forward-thinking company to contribute to exciting projects that shape the future of data utilization in media. If you’re ready to make an impact and work with cutting-edge technologies, this opportunity is perfect for you.

Qualifications

• 2.5+ years of experience in building scalable data systems.
• Experience with cloud infrastructures and data processing frameworks.

Responsibilities

• Design and implement data pipelines for large data volumes.
• Collaborate with teams to ensure a shared technical vision.

Skills

Python/PySpark

SQL

Data Modeling

Distributed Data Processing

Critical Thinking

Attention to Detail

Education

Bachelor's degree in Computer Science

Relevant professional experience

Tools

Apache Spark (Databricks)

AWS

GCP

Airflow (Astronomer)

Git

Terraform

Job description

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

Conde Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands.

Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Conde Nast. Our mission is not only to inform readers but to ignite and nourish their passions.

The Data Solutions Engineering team plays a critical role in shaping how Conde Nast leverages data. We build data pipelines, products, and tools that enable Data Scientists, Analysts, Business Intelligence Engineers, and Executives to solve complex use cases across the business. We are seeking a Data Engineer to build and maintain data pipelines across various business areas such as subscriptions, video, clickstream, commerce, social, and advertising.

Responsibilities:

1. Design, build, and test batch and streaming data pipelines capable of processing large volumes of data.
2. Build efficient code to transform raw data into datasets suitable for analysis, reporting, and machine learning models.
3. Collaborate with other data engineers to implement a shared technical vision.
4. Participate in the entire software development lifecycle, from concept to release.

Minimum Qualifications:

1. Bachelor's degree (B.S.) or higher in Computer Science or a related discipline, or relevant professional experience.
2. 2.5+ years of experience in distributed data processing, designing scalable and automated software systems.
3. Experience processing structured and unstructured data for analysis and reporting.
4. Experience with data modeling, batch pipeline design, and implementation.
5. Experience building batch or real-time data pipelines.
6. Proficiency in Python/PySpark or Scala.
7. Proficiency in SQL.
8. Experience with data processing frameworks such as Apache Spark (Databricks).
9. Experience with cloud infrastructures like AWS or GCP.
10. Exposure to orchestration platforms such as Airflow (Astronomer).
11. Attention to detail, critical thinking, and ability to work independently within a cross-functional team.
12. Familiarity with CI/CD pipelines (GitHub Actions).
13. Experience with Git version control and related tools.
14. Knowledge of Terraform for infrastructure as code.

Salary Range:

$119K - $137K

What happens next?

If interested, please apply below. You can update your resume or upload a cover letter at any time via 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, or other legally protected characteristics.