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Software Engineer, Data Infrastructure

The New York Times
New York, NY Full Time
POSTED ON 2/29/2024

Mission Overview & Responsibilities: 

Our 60 product teams across The New York Times produce operational data that is shared with our data ecosystem allowing data engineers, analysts and data architects to enrich and aggregate this data into meaningful, long-living data products that expose key metrics – allowing the business to make important decisions and report the health of the business to all partners.

Our Team, Warehouse Platforms, builds the platform tooling delivering the capabilities of transformation, orchestration, infrastructure, data management, observability and governance. Our platform enables data producers and data consumers to reliably share their operational data and create high-quality domain-data products. 

What You'll Do:

  • 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
  • You will build self-service platforms to power The Times' Technology and Data teams with a focus on simplifying complexity and providing a smooth user experience
  • You will partner with other teams to develop and deliver platform capabilities of transformation, governance, observability and orchestration
  • You will organize and guide balanced decisions across your peers for architecture, design, and implementation details
  • You will report to the Senior Engineering Manager of the Data Products Platform team

Basic Qualifications: 

  • 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

Preferred Qualifications:

  • 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

This is a hybrid role located in New York City.

This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

REQ-016255

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