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Role description

ETL Engineer

IV.AI logoIV.AI
TypeFull-time
WorkplaceRemote
SeniorityMid-level
Salary$125,000–$135,000
LocationRemote (United States)
Posted9/11/2026
Data

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 hiring@iv.ai.

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Company info

IV.AI logo

IV.AI

IV.AI is an AI platform that enables the smartest executives in the world to make AI-powered decisions. Discover the high-quality data, console, and expert team that helps businesses like Walmart, Samsung, Disney, Netflix and +100s of other leading organizations actually trust and benefit from AI inside of their intricate processes. See case studies trained on +6BN data points, and explore the success metrics that prove the value a well built and socially responsible AI can provide by speaking with a member of our team via humans@iv.ai Unlike other AI companies, IV.AI does not promise an omniscient being, capable of mysteriously finding solutions... AI doesn't work that way. Instead, IV.AI enables you and / or your models to make better informed decisions while saving time and driving measurable OKRs. See +100 media features about IV.AI, client engagements and thought leadership: https://iv.ai/press Headquartered in Los Angeles, California with offices in APAC, LATAM, EU, and No

Founded2016
HQLos Angeles, US
Size58 employees
Unlock human wisdom
ThesisTermsPrivacy
Industry
Software Development
Tech stackintel, linear, nodejs, golang, amazon-web-services, figma, apache-airflow, jupyter, google-analytics, ortto

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