Data Engineer

Job Description:

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.

• 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.

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. This position would be expected to be in the office a minimum of 3 days per week (subject to change).

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees