Data Engineer, Analytics Data Products

The New York Times; New York (NY); Hybrid; USD 110,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) plan with company matching

Paid parental leave

Tuition reimbursement

Professional development programs

Job summary

A leading media company in New York seeks a Data Engineer to design and implement advanced data pipelines. The ideal candidate will have 2+ years of experience in data engineering, proficiency in SQL and Python, and experience with managing data in cloud environments like GCP or AWS. This role includes ownership of data models and collaboration across teams to meet analytical needs. Benefits include flexible work arrangements and a competitive salary range of $110,000 - $130,000 USD.

Qualifications

• 2+ years of experience in a Data Engineering or related role.
• Experience with complex data modeling in production settings.
• Proficiency in Python for scripting and data manipulation.
• Familiarity with cloud services (GCP or AWS) required.

Responsibilities

• Design and implement data ETL/ELT pipelines.
• Develop data transformations using dbt and PySpark.
• Collaborate with teams to define data model requirements.
• Manage data storage in GCP and AWS.

Skills

SQL

Python

Data modeling

Data transformations

Cloud Data Warehousing

Tools

dbt

PySpark

Airflow

Terraform

Job description

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

About The Role

We are part of a New York-based technology organization with a remote-friendly workplace that includes engineers around the world. We value transparency and openness, learning, community, and continuous improvement. Check out the Times Open blog, which is written by engineers and other technical team members, and follow @nytdevs on Twitter to see what we're up to.

Responsibilities

• Design, model, and implement complex ELT/ETL pipelines for the cleansed and curated data layers in the medallion architecture, taking full ownership of the data product's structure, partitioning, documentation, and performance characteristics.
• 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.
• Collaborate across teams to define requirements and translate them into robust and scalable data models suitable for analytic consumption.
• Manage the physical data storage across both GCP and AWS, selecting optimal file formats and designing efficient partitioning and clustering strategies.
• Administer and tune Spark compute resources (e.g., Dataproc, EMR, or managed services) to optimize job execution time and cost.
• Own core components of our centralized analytics environment, specifically focused on Hex, integrations, and the methods of data exposure and access controls; and support data activation strategies, ensuring seamless data consumption by analytic tools.
• Optimize user queries and access patterns to maintain platform performance and cost efficiency.
• Implement centralized data quality checks and observability mechanisms within the data pipeline to proactively identify and resolve data issues.
• Contribute to the implementation of metadata management, data lineage, and role-based access control (RBAC) initiatives across the Lakehouse environment.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications

• 2+ years of hands‑on experience in a Data Engineering, Data Warehousing, Analytics Engineering or equivalent role
• Proficiency in SQL and experience with complex, production-level data modeling (dimensional modeling, Kimball, OBT, or Data Vault)
• Demonstrated experience designing, developing, and deploying end-to-end data products through the full Software Development Lifecycle
• Experience with a Cloud Data Warehouse, like BigQuery
• Proficiency in Python for scripting and data manipulation, including knowledge of PySpark or other Spark APIs
• Familiarity with cloud services and data storage components in at least one major cloud provider (GCP or AWS)
• Experience with workflow orchestration tools (e.g., Airflow, Cloud Composer, or Prefect) and version control systems (Git)

Preferred Qualifications

• Experience operating in a dual‑cloud environment (GCP/AWS)
• Experience with Infrastructure-as-Code (IaC) tools like Terraform
• Experience with advanced Lakehouse file formats like Iceberg or Delta Lake
• Familiarity with experimentation or A/B testing platforms and the data required to support them
• Experience in data product quality standards through integration advanced testing, quality checks, and monitoring into the CI/CD pipeline

Annual Pay Range

$110,000 - $130,000 USD

Benefits

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company‑matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process.

REQ-019489

Equal Opportunity Statement

We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectionate preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.

Accommodations

The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [e-mail]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

Fair Chance

The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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