Senior ETL Engineer — AI Data Pipelines & Analytics

IV.AI; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

IV.AI is seeking a skilled ETL Engineer to own data pipelines, moving and transforming data across our platform. You will connect client data sources, keep warehouses clean, and enable analytics and AI workflows across a distributed team.

The role emphasizes collaboration across time zones and a near-remote work approach. You will design ETL/ELT pipelines with BigQuery, PostgreSQL, and Snowflake data sources, and drive data quality and observability across the stack.

Qualifications

• Bachelor's degree required.
• 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 API/SaaS data source experience.
• Experience building modular, reusable code.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and SaaS integrations.
• Lead data extraction/transformation strategy from Snowflake environments; establish schema standards and data quality rules.
• Collaborate with engineers and product teams to define data contracts and schema standards.
• Design and implement alerting/observability for data pipelines on GCP; define SLOs and dashboards.

Skills

BigQuery

PostgreSQL

Python

APIs

Data pipelines

Modular code

Education

Bachelor's Degree

Tools

Snowflake

Airflow

Job description

IV.AI is seeking a skilled ETL Engineer to own data pipelines, moving and transforming data across our platform. You will connect client data sources, keep warehouses clean, and enable analytics and AI workflows across a distributed team.

The role emphasizes collaboration across time zones and a near-remote work approach. You will design ETL/ELT pipelines with BigQuery, PostgreSQL, and Snowflake data sources, and drive data quality and observability across the stack.