First Data Engineer — Build Our Scalable Data Platform

Tabs; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation and equity

Healthcare premium covered

Daily meal stipend

Tax-free commuter benefits

Parental leave up to 12 weeks

Unlimited PTO

401k

Job summary

A leading AI-native revenue platform is seeking its first Data Engineer to design and implement a scalable data infrastructure. This role involves building reliable data pipelines, maintaining data quality, and translating business metrics into actionable models. Ideal candidates have extensive experience in data engineering, are proficient in Python and SQL, and possess a strong understanding of modern cloud data stacks. Competitive compensation and comprehensive benefits are included.

Qualifications

• 3–5+ years of experience as a Data Engineer, ideally in a mid‑stage startup.
• Hands-on experience with a modern cloud data stack.
• Strong understanding of data quality, testing, and monitoring practices.

Responsibilities

• Design and implement a scalable data warehouse/lakehouse for KPIs.
• Build and maintain reliable data pipelines from databases and tools.
• Work with leadership to translate business metrics into data models.

Skills

Python programming skills

Strong SQL skills

Experience with cloud data stacks

Data pipeline performance and reliability

Tools

Snowflake

dbt

Airflow

Fivetran

Job description

A leading AI-native revenue platform is seeking its first Data Engineer to design and implement a scalable data infrastructure. This role involves building reliable data pipelines, maintaining data quality, and translating business metrics into actionable models. Ideal candidates have extensive experience in data engineering, are proficient in Python and SQL, and possess a strong understanding of modern cloud data stacks. Competitive compensation and comprehensive benefits are included.