Data Engineer

New York Post; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

The New York Post in New York, NY is seeking a Data Engineer to join our technology team. You will build and maintain data pipelines, data warehouses, and analytics services that power newsroom and product initiatives at scale.

You will collaborate with senior engineers, product managers, and data scientists, using Python, SQL, PySpark, and cloud services across AWS and Google Cloud. This is a hands-on role in a hybrid work environment.

Qualifications

• MS or BS in computer science, or related field.
• 2+ years of professional software engineering experience
• Proficiency in Python, SQL, and PySpark
• Working knowledge of AWS and/or GCP services
• Experience building and deploying data pipelines (Airflow, Dataflow, Glue, or similar tools)
• Knowledge of data warehouse technologies (BigQuery, Snowflake, Redshift, etc.)
• Familiarity with tools: AI tooling, IDEs, Git, JIRA, and agile methodologies
• Familiarity with web standards and protocols
• Comfort with code reviews, unit tests, QA and UAT processes, and end-to-end testing frameworks
• Strong problem-solving skills, attention to detail, eagerness to learn, and ability to manage multiple priorities

Responsibilities

• Design, build, and operate cloud-based data pipelines supporting needs of our websites, apps, and information services.
• Work daily with compute, query, storage, and big data services (Vertex AI, Lambdas, DynamoDB, Cloud Functions, S3, Kubernetes, Glue, BigQuery).
• Develop and maintain data ETL pipelines for real-time and batch processing of large-scale content and event data.
• Write clean, testable, and maintainable code (Python preferred).
• Collaborate with product, editorial, and data science teams to deliver infrastructure and services meeting business needs.
• Monitor, optimize, and improve the reliability, security, and cost efficiency of cloud-based systems.
• Write and present ideas clearly; document functional requirements for technical and non-technical audiences.
• Participate in code reviews, architecture discussions, and agile sprint ceremonies.

Skills

Problem solving

Attention to detail

Organized

Eagerness to learn

Collaboration

Education

MS or BS in Computer Science

Tools

Python

SQL

PySpark

Airflow

Dataflow

Glue

BigQuery

Snowflake

Redshift

AWS/GCP

Git

JIRA

Docker

Kubernetes

CloudWatch

Datadog

Splunk

REST/GraphQL APIs

Job description

Job Description

The New York Post is one of America’s most iconic and recognizable news brands — delivering bold headlines, unforgettable scoops, and sharp commentary since 1801. With a legacy built on fearless journalism and a distinctly New York attitude, The Post has evolved far beyond its print roots to become a modern media powerhouse.

Job Description

The New York Post is one of America’s most iconic and recognizable news brands — delivering bold headlines, unforgettable scoops, and sharp commentary since 1801. With a legacy built on fearless journalism and a distinctly New York attitude, The Post has evolved far beyond its print roots to become a modern media powerhouse. Today, the New York Post Digital Network is one of the most influential voices in the industry, reaching over 80 million unique users each month across our expansive, ever-growing portfolio. Anchored by NYPost.com, PageSix.com, and Decider.com, our digital brands deliver must-read breaking news, sports, entertainment, pop culture, and lifestyle coverage with the same wit, edge, and energy that define The Post. With innovation at our core, we’ve built a true multi-platform ecosystem — spanning web, mobile apps, video, audio, social, print, TV, and commerce. From viral headlines and exclusive stories to original series, podcasts, and live events, we’re engaging audiences where they are — and always on the pulse of what’s next.

We’re looking for a Data Engineer to join our technology team and work on the systems that power The Post’s digital future. This is a hands‑on engineering role with a focus on infrastructure services, data pipelines, and identity enrichment. Along the way you’ll also participate in the product development of data‑dependent systems such as AI answer services, personalization systems, machine learning, and audience services.

You will build and maintain the foundational data services that power analytics and machine learning for our newsroom, and product teams to deliver cutting‑edge thoughtful digital experiences at scale. You’ll work alongside senior engineers, product managers, and data teams, contributing to high‑performance systems.

Please Note: Candidates must be authorized to work in the United States on a permanent basis. Sponsorship, including employment visa sponsorship or transfer, is not available for this position now or in the future.

Key Responsibilities

• Design, build, and operate cloud-based data pipelines supporting specialized needs of our consumer websites, native mobile apps, and information services.
• Work daily with compute services, query services, storage services, and big data services with technologies like Vertex AI, Lambdas, DynamoDB, Cloud Functions, S3, Kubernetes, Glue, and BigQuery inside AWS and GCP.
• Develop and maintain data ETL pipelines for real‑time and batch processing of large‑scale content and event data.
• Write clean, testable, and maintainable code (Python preferred).
• Collaborate with product, editorial, and data science teams to deliver infrastructure and services that meet business needs.
• Monitor, optimize, and improve the reliability, security, and cost efficiency of cloud-based systems.
• Write and present ideas clearly. Document functional requirements for both technical and non-technical audiences.
• Participate in code reviews, architecture discussions, and agile sprint ceremonies.

Qualifications

Must-Haves

• MS or BS in computer science, or related field.
• 2+ years of professional software engineering experience
• Proficiency in Python, SQL, and PySpark
• Working knowledge of common AWS and/or GCP services
• Experience building and deploying data pipelines (e.g., Airflow, Dataflow, Glue, or similar tools)
• Knowledge of data warehouse technologies (BigQuery, Snowflake, Redshift, etc.)
• Firm grasp of the tools of the trade including AI tooling, IDEs, Git, JIRA, and agile methodologies.
• Familiarity with web standards and protocols.
• Comfort with code reviews, writing unit tests, QA and UAT processes, and exposure to end‑to‑end testing frameworks.
• Strong problem‑solving skills, attention to detail, thoroughness, and an eagerness to learn.
• Proactive approach to problem‑solving.
• Highly organized with the ability to manage multiple priorities in a fast‑paced environment.

Great-to-Have Experience

• Familiarity with content‑management systems, media, news, publishing, video technology, ad technology, or other high‑traffic consumer‑facing industries.
• Exposure to personalization and recommendation systems.
• Comfortable with the CLI, Linux administration, shell scripting, ssh, crontabs, etc.
• Hands‑on experience with generative‑AI models, LLM prompting, and/or machine learning
• Experience with monitoring, logging, dashboard, and alarming tools (e.g., CloudWatch, Datadog, Splunk, etc.)
• Familiarity with REST and GraphQL APIs, authentication/authorization, and API best practices.
• Scaling techniques in cloud environments.
• Troubleshooting and debugging experience with internet services.
• Understanding of CI/CD workflows and containerization (Docker, Kubernetes a plus)

Note: The New York Post follows a hybrid work model.