ETL Engineer

IV.AI

$110K — $130K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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

Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and third-party SaaS integrations
  • Lead data extraction and transformation strategy from Snowflake, establishing schema standards and transformation logic
  • Collaborate with engineers and product teams to define data contracts and schema standards
  • Implement alerting and observability strategy for data pipelines on GCP
  • Own data quality by writing validation logic and designing solutions to catch issues before they reach production
  • Involve in the full software lifecycle from design through deployment

Benefits

  • Pipelines that directly power AI products used by blue-chip clients
  • Flexible, remote-friendly work with a collaborative, low-bureaucracy team
  • Competitive compensation and real ownership of your domain
Full 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


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