Senior Data Engineer, Customer-Facing Data Products

Thenewyorktimes; New York (NY); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible Spending Accounts

401(k) plan

Paid vacation

Tuition reimbursement

Job summary

Thenewyorktimes seeks a Senior Data Engineer to join the Customer-Facing Data Products team. This hybrid position in New York City requires expertise in data engineering with a focus on real-time solutions and event-driven architectures.

Responsibilities include developing data pipelines, ensuring data quality, and collaborating with engineering teams. The role offers a competitive salary of $140,000 to $160,000 annually, plus benefits including medical coverage and a 401(k) plan.

Qualifications

• 5+ years of data engineering experience shipping real-time solutions.
• Experience with cloud native architectures (AWS preferred).
• Programming fluency with Python.

Responsibilities

• Develop real-time data pipelines using event-driven architectures.
• Ingest and organize structured and unstructured data.
• Collaborate with engineers to improve pipeline performance.

Skills

Data engineering

Event-driven architectures

Stream-processing frameworks

Python

AWS

Tools

GitHub Actions

Apache Kafka

Apache Flink

FastAPI

Flask

Job description

Role Summary

Senior Data Engineer in the Customer-Facing Data Products team. The position is hybrid and based in New York City.

Responsibilities

• Develop real‑time data pipelines using event‑driven architectures and streaming technologies.
• Ingest and organize structured and unstructured data for widespread reuse across patterns.
• Engineer and scale high availability data serving capabilities to meet customer‑facing needs.
• Implement mechanisms to ensure data quality, observability, and governance best practices.
• Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments.
• Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review.
• Stay current with the latest technologies, keeping up with advancements in streaming data processing and related technologies.
• Demonstrate support for the company’s commitment to journalistic independence and the mission to seek the truth and help people understand the world.

Basic Qualifications

• 5+ years of full‑time data engineering experience shipping real‑time solutions with event‑driven architectures and stream‑processing frameworks.
• Experience with cloud native architectures (AWS preferred), including service offerings and tools.
• Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving.
• Programming fluency with Python.
• Experience using version control and CI/CD tools, such as GitHub Actions and Drone.

Preferred Qualifications

• Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark Streaming.
• Experience building APIs using Python frameworks (FastAPI, Flask).
• Experience with SQL.
• Understanding of modern data platforms including data lakehouse and medallion architectures.
• Experience collaborating with product and partners to meet shared goals.

Compensation and Benefits

Base pay: $140,000 – $160,000 USD (annual). Potential variable pay including annual bonus and restricted stock. Benefits include medical, dental, and vision coverage; Flexible Spending Accounts; a company‑matching 401(k) plan; paid vacation, paid sick days, paid parental leave; tuition reimbursement; and professional development programs.

EEO Statement

The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of any legally protected characteristic. All applications will receive consideration for employment without regard to protected characteristics. The U.S. Equal Employment Opportunity Commission’s Know Your Rights poster is available upon request.