Data Engineering at The New York Times Company
Roles, Comp & Culture
An L5 senior data engineer at The New York Times Company sits around $206K total comp from 13 verified salary datapoints. The primary Data Engineering tech consists of AWS, CI/CD and GCP, according to current job listings. The New York Times Company pays data engineers slightly below other Media companies. The New York Times Company employees are stressed and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days. 6 data engineering roles are open right now.
The New York Times Company data engineer compensation
Each level's figure is the median of individual The New York Times Company offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
The New York Times Company employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
Recent The New York Times Company events
Layoffs, leadership changes, and other major moves at the company, with dates.
- LayoffMay 2026Layoff
- LayoffMay 2026Layoff
- Exec departureJan 2026Leadership change
Notable company events we track, with dates.
The New York Times Company data engineering tech stack
The languages, storage, and processing tools The New York Times Company data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
IcebergThe New York Times Company data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Develop advanced data transformations using dbt (data build tool) for relational data modeling and PySpark for complex data processing within the Lakehouse, ensuring outputs meet strict SLAs and quality standards.
Develop real-time data pipelines using event-driven architectures and streaming technologies.
As a Software Engineer on the Experimentation & Instrumentation team, you will build and maintain interfaces and golden paths that make it easy for product teams to instrument experiments and behavioral events and connect experiment outcomes to downstream user behavior and engagement metrics.
Develop advanced data transformations using dbt (data build tool) for relational data modeling and PySpark for large-scale data processing within the Lakehouse, ensuring outputs meet strict Service Level Agreements and quality standards.
Create and maintain data quality frameworks, definitions, and metrics that are consistently applied across data domains, products, and key data assets
Practice for the The New York Times Company loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the The New York Times Company loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare The New York Times Company with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at The New York Times Company interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition