Software Engineer, Content Data Products

The New York Times•New York, NY

1d•$110,000 - $130,000•Hybrid

About The Position

The New York Times is looking for a Software Engineer to join the Content Data Products team. You will report to an engineering manager and partner with engineers, product and project managers, data scientists, newsroom along with others to build systems that turn NYT's archive of publishing content into data products. Our teams and external partners will use these tools to obtain insights and build experiences based on NYT content. The Content Data Products team sits within the Publishing group at the New York Times. The Publishing group is responsible for the content management system for all of the Times. It empowers development teams to build and evolve experiences with speed, and provides editors and creators with a unified suite of tools they can use with confidence to make the world's best journalism.

Requirements

2+ years of software engineering experience
Fluency in backend technologies (Go, Python, Java or similar) and SQL databases
Experience designing and building data backend services and APIs that other teams can build on
Experience with data feeds development
Experience with CI/CD concepts and tooling
Experience with infrastructure orchestration and familiarity with cloud computing platforms like GCP or AWS
Understanding of application and data security best practices
Demonstrated experience working collaboratively as a part of a cross-functional team

Nice To Haves

Front-end familiarity (JavaScript, React) to contribute across the stack when needed
Understanding of data modeling, data warehousing, ETL/ELT processes, data pipelines, and data architecture
Experience with AI/ML
Experience with Content Management Systems
Experience with metadata and tagging
Familiarity with extracting or digitizing content from multiple sources

Responsibilities

Collaborate with product, design, other engineers, and newsroom partners to build content data products and APIs within the NYT's publishing platform, including internal data solutions and external offerings
Take ownership of features or components, driving them from requirements gathering through design, implementation, QA, deployment, and monitoring
Use AI to process our archive and turn unstructured data into structured data, while developing a deep understanding of what we're building and how to use it
Ensure a high degree of code quality, security, and system observability
Drive architectural excellence by establishing best practices for high concurrency, data-intensive systems
Champion a "quality-first" culture by architecting automated testing frameworks that ensure service reliability at scale
Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.