Senior Software Engineer, Data Infrastructure

The New York Times CompanyNew York, NY
48d$140,000 - $155,000Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • annual tuition reimbursement program

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Publishing Industries

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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