Senior ETL/ELT Engineer for AI Data Pipelines

IV.AI; United States; Hybrid; USD 110,000 - 170,000; Full time

Job summary

IV.AI is seeking a skilled ETL Engineer to own data pipelines, enabling analytics and AI workflows across a distributed team. You will connect client data sources, keep warehouses clean, and support our platform with robust ETL/ELT design.

The role requires 4+ years in software or data engineering, strong Python, Snowflake, BigQuery, and PostgreSQL experience, plus cloud familiarity. Remote-friendly, cross-time-zone collaboration is encouraged.

Qualifications

• Bachelor’s degree required or equivalent practical experience.
• 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 APIs/SaaS data sources.
• Experience building modular, maintainable codebases.
• Familiarity with GCP or similar cloud infrastructure.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and third‑party SaaS integrations.
• Lead data extraction and transformation strategy from Snowflake environments with schema standards and data quality criteria.
• Collaborate with engineers and product teams to define data contracts and schema standards.
• Design and implement alerting and observability for data pipelines on GCP with SLOs, thresholds, and dashboards.
• Own data quality by writing validation logic and proactively solving issues before production.
• Be involved in the full software lifecycle from design through deployment.

Skills

Python

Snowflake integration

BigQuery

PostgreSQL

APIs & SaaS data

Modular codebases

GCP familiarity

Airflow

dbt

NLP/AI interest

Startup mindset

Education

Bachelor’s Degree

Tools

Snowflake

BigQuery

PostgreSQL

Airflow

Parquet

Polars

Spark

dbt

Job description

IV.AI is seeking a skilled ETL Engineer to own data pipelines, enabling analytics and AI workflows across a distributed team. You will connect client data sources, keep warehouses clean, and support our platform with robust ETL/ELT design.

The role requires 4+ years in software or data engineering, strong Python, Snowflake, BigQuery, and PostgreSQL experience, plus cloud familiarity. Remote-friendly, cross-time-zone collaboration is encouraged.