Data Engineer - Analytics Data Products (Remote-Friendly)

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

Flexible Spending Accounts (F.S.A.s)

401(k) plan with company match

Paid vacation

Paid parental leave

Job summary

A leading media organization in New York is seeking a Data Engineer to design and implement ELT/ETL pipelines. The role involves developing data transformations using dbt and PySpark, managing data storage on GCP and AWS, and ensuring data quality across systems. Ideal candidates will have 2+ years of experience in data engineering, proficiency in SQL and Python, and familiarity with cloud environments. This position offers a competitive salary range of $110,000 - $130,000 with flexible working arrangements.

Qualifications

• 2+ years of hands-on experience in Data Engineering, Data Warehousing or equivalent.
• Experience with production-level data modeling and Cloud Data Warehouses.
• Familiarity with cloud services in GCP or AWS.

Responsibilities

• Design and implement complex ELT/ETL pipelines.
• Develop data transformations using dbt and PySpark.
• Administer and tune Spark resources to optimize performance.

Skills

SQL

Python

dbt (data build tool)

PySpark

workflow orchestration tools (e.g., Airflow)

data modeling (dimensional modeling, Kimball)

Tools

BigQuery

GCP

AWS

Terraform

Job description

A leading media organization in New York is seeking a Data Engineer to design and implement ELT/ETL pipelines. The role involves developing data transformations using dbt and PySpark, managing data storage on GCP and AWS, and ensuring data quality across systems. Ideal candidates will have 2+ years of experience in data engineering, proficiency in SQL and Python, and familiarity with cloud environments. This position offers a competitive salary range of $110,000 - $130,000 with flexible working arrangements.