Remote-Ready ETL Engineer for AI Data Pipelines

IV.AI; United States; Híbrido; USD 110 000 - 150 000; Tempo integral

Resumo da oferta

IV.AI is seeking a skilled ETL Engineer to join our data team, reporting to the VP of Engineering. You’ll own pipelines that move and transform data across our platform, connect client data sources, keep warehouses clean, and enable analytics and AI workflows for our products.

We’re a distributed team that collaborates across time zones— not quite remote-first, but pretty close. You’ll design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, Snowflake, and third‑party SaaS

Qualificações

• Bachelor’s degree in a relevant field.
• 4+ years of software or data engineering experience.
• Hands-on experience extracting from and integrating with Snowflake.
• Proficiency with BigQuery and PostgreSQL.
• Strong Python skills and experience connecting to third-party APIs.
• Experience building modular, maintainable codebases.
• Familiarity with GCP or similar cloud infrastructure.

Responsabilidades

• Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and SaaS integrations.
• Lead data extraction and transformation strategy from Snowflake environments.
• Collaborate with engineers and product teams to define data contracts and schemas.
• Implement alerting and observability for data pipelines on GCP.
• Own data quality and validation to prevent production issues.
• Contribute across the full software lifecycle from design to deployment.

Conhecimentos

Python

Data engineering

BigQuery

PostgreSQL

Snowflake

APIs & SaaS

GCP

Modular code design

Team collaboration

Formação académica

Bachelor’s Degree

Ferramentas

Airflow

dbt

Polars

Spark

Descrição da oferta de emprego

IV.AI is seeking a skilled ETL Engineer to join our data team, reporting to the VP of Engineering. You’ll own pipelines that move and transform data across our platform, connect client data sources, keep warehouses clean, and enable analytics and AI workflows for our products.

We’re a distributed team that collaborates across time zones— not quite remote-first, but pretty close. You’ll design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, Snowflake, and third‑party SaaS