Senior Data Engineer for AI-Native Data Platform

Netrolynx AI

United States

A distancia

USD 140.000 - 190.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Remote work stipend
Equity opportunities
Bonus opportunities

Descripción de la vacante

Babylist is seeking a Senior Data Engineer to shape data infrastructure, owning AI-native data systems and scalable pipelines that support product growth and AI initiatives. You will work with analysts, data scientists, and product teams to build reliable, automated data workflows.

The role emphasizes production-grade Python development, ETL/ELT practices, and cloud data engineering across Snowflake and AWS services, with opportunities for leadership and impact across the business.

Formación

  • Strong Python development experience in production-grade data systems.
  • Experience collaborating with analysts and data scientists to translate requirements into reliable pipelines.
  • Background building scalable data architectures for AI/ML use cases.

Responsabilidades

  • Design, build, and scale data pipelines for Snowflake ingestion.
  • Develop agentic data engineering systems for automation of pipeline generation, testing, and maintenance.
  • Maintain and enhance ML pipelines to operationalize models.
  • Monitor data quality and system performance across multi-system journeys.
  • Collaborate with analytics engineers on data modeling and reliability.
  • Partner with product, analytics, and ML teams to deliver end-to-end data solutions.

Conocimientos

Python
Data modeling
Collaboration

Herramientas

Airflow
dbt
Snowflake
AWS
EC2
S3
Lambda
EKS

Descripción del empleo

Babylist is seeking a Senior Data Engineer to shape data infrastructure, owning AI-native data systems and scalable pipelines that support product growth and AI initiatives. You will work with analysts, data scientists, and product teams to build reliable, automated data workflows.

The role emphasizes production-grade Python development, ETL/ELT practices, and cloud data engineering across Snowflake and AWS services, with opportunities for leadership and impact across the business.

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