Data Engineer: Build Scalable GCP Data Pipelines

Fractal; New York (NY); On-site; USD 100,000 - 131,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability coverage

401(k) after 30 days

Paid holidays

Parental leave (12 weeks)

PTO

Job summary

Fractal in New York is seeking a data engineer to design, develop, and maintain scalable data pipelines across enterprise data warehousing projects using GCP technologies. You will work with BigQuery, Cloud Composer, Dataproc, and Cloud Run Functions, primarily in Python, to enable reliable analytics and decision-making for Fortune 500 clients.

Join a team that builds scalable data platforms and empowers data-driven decision making with modern cloud services and robust data engineering practices.

Qualifications

• Experience designing scalable data pipelines across enterprise-scale data warehousing projects.

Responsibilities

• Design, develop, enhance, and maintain scalable data pipelines across heterogeneous datasets using GCP technologies and Python-based frameworks.
• Collaborate with data engineers and analytics teams to ensure data quality, reliability, and performance.
• Implement and optimize data workflows in BigQuery, Cloud Composer, and Dataproc to support analytics across the enterprise.

Skills

Data pipelines

Cloud data engineering

Python

Tools

GCP BigQuery

Cloud Composer

Dataproc

Cloud Run Functions

Job description

Fractal in New York is seeking a data engineer to design, develop, and maintain scalable data pipelines across enterprise data warehousing projects using GCP technologies. You will work with BigQuery, Cloud Composer, Dataproc, and Cloud Run Functions, primarily in Python, to enable reliable analytics and decision-making for Fortune 500 clients.

Join a team that builds scalable data platforms and empowers data-driven decision making with modern cloud services and robust data engineering practices.