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Remote ETL Jobs

Browse remote ETL positions — data pipeline engineering, dbt transformation layer development, and ELT workflow automation at AI-first companies.

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Remote worldwide
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ETL Developer Data Pipeline Engineer Analytics Engineer dbt Developer Data Integration Specialist

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Jobs & Projects

Snowflake
staff
Full-time
English
Open job
Airbyte

Posted 2 weeks ago

Technical Support Engineer

Canada

Full-time
English
C$89K – C$105K / year
Open job
Nous Research

Posted 2 weeks ago

Data Engineer

Americas (US time zones)

Full-time
English
Open job
Snowflake

Posted 2 weeks ago

Senior Solution Engineer - GCC

IN-Bangalore-MSO

senior
Full-time
English
Open job
Snowflake

Posted 2 weeks ago

Principal Program Manager - Migrations

US-CA-Menlo Park

principal
Full-time
English
$184K – $242K / year
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Snowflake
executive
Full-time
English
$304K – $437K / year
Open job
Tonicai
Full-time
English
$120K – $180K / year
Open job
Skydio

Posted 2 weeks ago

Senior Autonomy Engineer, Data Curation

San Mateo, California, United States

senior
Full-time
English
Open job
Hightouch

Posted 2 weeks ago

Backend Engineer, Platform

San Francisco

Full-time
English
Open job
Motional

Posted 2 weeks ago

Senior Engineer, ML Data Services

Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.

senior
Full-time
English
$149K – $199K / year
Open job

Role guide

What to expect in remote ETL jobs

ETL engineers build the data pipelines that make AI possible. Remote ETL jobs at AI companies involve designing ELT workflows with dbt, integrating data sources with Fivetran or Airbyte, and orchestrating pipelines with Airflow. Clean, reliable data is the most critical input for any ML system — and ETL engineers are the people who deliver it.

What you'll work on

  • Build reliable ELT pipelines that feed ML training and inference systems
  • Develop dbt transformations that model raw data for analytics and feature engineering
  • Integrate third-party APIs and SaaS data sources into the data warehouse
  • Implement automated data quality checks before ML models train on new data

What companies look for

  • dbt — model development, testing, documentation, and deployment
  • Modern ELT tools — Fivetran, Airbyte, or Stitch for data ingestion
  • Pipeline orchestration with Airflow, Prefect, or Dagster

Frequently asked questions

What remote ETL jobs are available at AI companies?

Data engineering and analytics engineering roles focused on pipeline development. Most require SQL and dbt alongside Python and a cloud data warehouse.

Is ELT replacing ETL in remote job listings?

In modern cloud-native stacks, yes. Most AI companies use ELT — load raw data first, transform in the warehouse with dbt. Traditional ETL (transform before load) is common in legacy enterprise environments.

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