ETL Engineer

🕒 July 28

🇺🇸 United States – Remote

💵 $125k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IV.AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

IV. AI is an enterprise AI company that builds decision-intelligence and data-orchestration software to turn messy, fragmented datasets into trustworthy, actionable insights. Its platform includes Magnet (data discovery and cleaning), Toaster (modeling, predictions, and anomaly detection), and Scissors (no-code front-end for embedding AI insights into workflows and existing stacks such as CRMs and CDPs). IV. AI emphasizes agentic AI, model traceability and auditability, data governance, and integration with customers' existing infrastructure, and offers solutions for entertainment & media intelligence, market intelligence, location/POI verification, and GEO/AEO commerce signals.

📋 Description

• 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 • 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 • 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

🎯 Requirements

• 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

🏖️ Benefits

• 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