Senior Data Engineer - On-Site NYC, Equity & Scale

Axiōma Search; New York (NY); On-site; USD 260,000 - 300,000; Full time

Benefits offered by this job

Equity package

Job summary

Agentic AI Startup in New York City (on-site) is seeking a data-driven engineer to own end-to-end data pipelines and analytics infrastructure. The role focuses on building scalable pipelines, data models, and high-quality data feeds that power product decisions across the business.

You will design and maintain ETL processes, work with Snowflake for warehousing, ensure data quality, and deliver metrics datasets to stakeholders.

Qualifications

• 4+ years of professional data engineering experience.
• Strong coding foundations in Python, Java, and/or SQL.
• Solid ETL design and implementation experience.
• Working knowledge of data warehousing, particularly Snowflake.
• High ownership, comfortable with ambiguity, genuinely scrappy.

Responsibilities

• Own the data pipeline completely: design, build, and maintain data infrastructure and ETL processes.
• Build large-scale pipelines that process high volumes reliably against clear quality standards.
• Design core data objects and models used across the organisation.
• Optimise data flow for product, operations, and analytics teams.
• Implement data quality monitoring and alerting.
• Develop client-facing reporting and metrics datasets.

Skills

Python

Java

SQL

ETL design

Data warehousing

Tools

Snowflake

Job description

Agentic AI Startup in New York City (on-site) is seeking a data-driven engineer to own end-to-end data pipelines and analytics infrastructure. The role focuses on building scalable pipelines, data models, and high-quality data feeds that power product decisions across the business.

You will design and maintain ETL processes, work with Snowflake for warehousing, ensure data quality, and deliver metrics datasets to stakeholders.