Senior Analytics Engineer, Data Platform

🕒 September 1

🗽 New York – Remote

🗽 New York – Remote

💵 $124k - $135k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The New York Times

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1851

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

The New York Times is an American news organization that produces national and international journalism across print and digital platforms. It publishes reporting, analysis, opinion, podcasts, newsletters, videos, games and other multimedia content, and operates related properties such as Wirecutter and The Athletic. The company is primarily subscription-supported and focuses on investigative reporting, breaking news, culture, business, science and lifestyle coverage for a broad consumer audience.

📋 Description

• Independently lead work streams building next-generation data foundations for core enterprise reporting datasets • Serve as subject matter expert on subscription data • Translate subscription data needs into technical implementations • Mentor teammates on the subscription data domain • Design reusable business logic and data pipelines • Develop data models, data contracts, alerting, context, and metrics/semantic layers • Support traditional and AI-assisted analytical use cases • Partner with Product, Engineering, and Design teams across the business • Support and understand journalistic independence and The New York Times’ mission

🎯 Requirements

• 5+ years of experience in analytics engineering, data engineering, product analytics or similar data-intensive roles • Proficiency in SQL, DBT, and data transformation workflows • Proficiency in Python for ETL and analytics use cases • Experience communicating updates and resolutions to customers and other partners • Ability to work with business-focused partners and platform-focused engineers • Hands-on familiarity with GCP/BigQuery, Databricks/Spark, AWS, Snowflake, or other cloud data environments

🏖️ Benefits

• Variable pay, such as an annual bonus and restricted stock • Medical benefits • Dental benefits • Vision benefits • Flexible Spending Accounts (F.S.A.s) • Company-matching 401(k) plan • Employee stock purchase plan • Paid vacation • Paid sick days • Paid parental leave • Tuition reimbursement • Professional development programs