ETL Engineer

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 looking for a skilled ETL Engineer to join our data team, reporting to the VP of Engineering. You'll own the pipelines that move and transform data across our platform - connecting client data sources, keeping our warehouses clean, and enabling the analytics and AI workflows our products depend on. We're a distributed team that works collaboratively across time zones - not quite remote-first, but pretty close.

What You'll Do

• Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and third-party SaaS integrations

• Design and lead data extraction and transformation strategy from Snowflake environments, exercising independent technical judgment to establish schema standards, transformation logic, and data quality criteria supporting downstream analysis and product use cases

• Collaborate with engineers and product teams to define data contracts and schema standards

• Design and implement the alerting and observability strategy for data pipelines on GCP - defining SLOs, alert thresholds, and dashboards, and setting up the monitoring stack to support them

• Own data quality - write validation logic, catch issues, problem solve and design solutions before they reach production

• Be involved in the full software lifecycle from design through deployment

What We're Looking For

• Bachelor's Degree

• 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 comfort connecting to third-party APIs and SaaS data sources

• Experience building atomic, modular codebases

• Familiarity with GCP or similar cloud infrastructure

Nice to Have

• Experience with Airflow, Polars, Parquet, or Spark

• Familiarity with dbt or similar transformation tools

• Interest in the NLP/AI space

• Comfort in a fast-moving startup environment

Why Join Us

• Pipelines that directly power AI products used by blue-chip clients

• Flexible, remote-friendly work with a collaborative, low-bureaucracy team

• Competitive comp and real ownership of your domain

IV.AI is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive team, and we do not discriminate on the basis of race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law. IV.AI provides reasonable accommodations to applicants and employees with disabilities. To request an accommodation in the application process, contact [e-mail].