Data Platform Engineer: Scale Airflow & AI Pipelines

Treeswift Inc; New York (NY); Hybrid; USD 160,000 - 200,000; Full time

Job summary

A dynamic technology company is seeking a skilled Data Platform Engineer to design, build, and maintain scalable data pipelines. This full-time hybrid role is based in Lower Manhattan, NYC, and involves collaborating with ML and hardware teams to optimize operations. Candidates should have a Bachelor's degree and at least 4 years of relevant experience in data engineering, strong communication skills, and the ability to manage complex data workflows. The estimated salary range is $160,000 - $200,000.

Qualifications

• 4+ years of data engineering or backend engineering experience.
• Experience building and maintaining production data pipelines.
• Familiarity with cloud object storage and data-at-scale.

Responsibilities

• Design, build, and maintain data pipelines at scale.
• Help scale and harden the data platform.
• Collaborate with the entire engineering team to manage data sets.

Skills

Data pipeline development

Collaboration skills

Python (basic)

Cloud storage knowledge

Kubernetes experience

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Airflow

AWS

Kubernetes

Job description

A dynamic technology company is seeking a skilled Data Platform Engineer to design, build, and maintain scalable data pipelines. This full-time hybrid role is based in Lower Manhattan, NYC, and involves collaborating with ML and hardware teams to optimize operations. Candidates should have a Bachelor's degree and at least 4 years of relevant experience in data engineering, strong communication skills, and the ability to manage complex data workflows. The estimated salary range is $160,000 - $200,000.