Software Engineer
Data Infrastructure
Posted on 3/30/2024
INACTIVE
The New York Times

10,001+ employees

Produces independent, deeply reported journalism worldwide.
Company Overview
The New York Times fosters a culture of intellectual curiosity and commitment to truth, offering employees the opportunity to contribute to deeply reported journalism that impacts society. Its competitive advantage lies in its diverse team of professionals, from reporters to data analysts, who collaboratively deliver a top-tier digital experience, making it a global leader in the journalism industry. The company's proactive approach to understanding the effects of remote work showcases its adaptability and dedication to employee well-being.
Data & Analytics
Consulting
Entertainment

Company Stage

N/A

Total Funding

$3.7B

Founded

1850

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

0%

1 year growth

10%

2 year growth

28%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Datadog
Python
BigQuery
Terraform
Data Analysis
Snowflake
Google Cloud Platform
CategoriesNew
Backend Engineering
Full-Stack Engineering
Cloud Engineering
Software Engineering
Requirements
  • 2+ years of overall experience with cloud infrastructure (GCP preferred) and configuration, especially with cloud-native data-warehousing solutions like Snowflake or BigQuery
  • Experience in at least one programming language - Python or Go
  • Experience with Terraform or similar Infrastructure as Code platform
  • Experience with GitOps, CI/CD pipelines and build tools such as Drone
  • Familiarity with modern-data-stack tools (dbt, Fivetran, MonteCarlo)
  • Experience building and shipping platform tooling and facilitating wide adoption in an organization with a diverse set of users
  • Experience with observability tools such as Datadog and Sumo Logic
  • Experience building frontend applications
  • Familiarity with data warehousing and data modeling
Responsibilities
  • Develop platform tooling to enable data applications and data teams to build data products that expose high-quality raw and modeled data for historical analytics and business use
  • Build self-service platforms to power The Times' Technology and Data teams with a focus on simplifying complexity and providing a smooth user experience
  • Partner with other teams to develop and deliver platform capabilities of transformation, governance, observability and orchestration
  • Organize and guide balanced decisions across your peers for architecture, design, and implementation details
  • Report to the Senior Engineering Manager of the Data Products Platform team