Senior software engineer data infrastructure

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

About The Role

At the New York Times data plays a vital role in helping us understand and make decisions about our business, build products that people love and tailor our products to our users. The Data Infrastructure team builds and maintains systems that help users to get the data they need, where they need it and when they need it. We partner with product teams, analysts and other engineers to provide platform solutions that help us use data across our organization.

We are looking for a Senior Software Engineer, with a focus on building data platform solutions, to join our Data Infrastructure team to help solve challenges around data movement for the New York Times.

This is a hybrid role based in NYC, typically in-office two/three days a week. You'll report to the engineering manager of the Data Infrastructure team.

Responsibilities

• You will design and implement developer tools, frameworks and services which help product teams self-serve to publish their data and make that data accessible to other product teams across the organization.
• You will develop best practices for managing the data platform's core infrastructure that enables both batch and streaming data processing.
• You will build systems that are scalable, cost-effective, observable and built with privacy and the data lifecycle in mind.
• You will level up your teammates by collaborating with and mentoring junior team members.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
  
  

Basic Qualifications

• 5+ years of experience in backend engineering with a focus on data platform solutions
• Experience deploying and monitoring systems using cloud infrastructure (AWS or GCP)
• Experience building REST APIs and batch or stream data pipelines
• Fluency with at least one high-level programming language like Go, Python or Java
• Familiarity with data stores such as RDBMS, Data Warehouses, NoSQL, Object
• Familiarity with streaming tools (Kafka, PubSub, Kinesis), DevOps principles, CICD tools (Drone, Jenkins, Gitlab) and infrastructure as code.
  
  

Preferred Qualifications

• Experience building data platform solutions or knowledge of basic data engineering processes such as large-scale event-driven systems, data lakehouse and ETL.
• Experience with any of the these technologies: Apache Beam, Apache Flink/Dataflow, Airflow, SQL/BigQuery
• Familiarity with data tooling such as Fivetran, Census, Stitch.
  
  

The Times also provides an annual tuition reimbursement program for those aiming to continue developing their skills while with us. This role includes limited on-call hours, on-call schedule will be determined when you join, taking into account team size and other variables.

(REQ-018648)

The annual base pay range for this role is between:

$140,000 - $155,000 USD

The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.

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