Remote positions

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
All job types
ETL Developer Data Pipeline Engineer Analytics Engineer dbt Developer Data Integration Specialist

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Jobs & Projects

Snowflake

Posted 3 weeks ago

Solutions Engineer

MX-Mexico-Remote

Full-time
English
Open job
Snowflake

Posted 3 weeks ago

Solutions Architect

IL-Israel-Remote

Full-time
English
machine learning python sql machine learning spark +4 more
Open job
Glacier
Full-time
English
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Databricks

Posted 1 month ago

Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)

Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington

senior
Full-time
English
$152K – $209K / year
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OpenAI

Posted 2 months ago

Analytics Engineer, GTM

San Francisco

Full-time
English
$220K – $335K / year
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OpenAI

Posted 2 months ago

Data Engineer

San Francisco

Full-time
English
$235K – $385K / year
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Anthropic

Posted 2 months ago

Staff+ Software Engineer, Data Infrastructure

Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY

staff
Full-time
English
$405K – $485K / year
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Databricks

Posted 2 months ago

Lakebase Associate Director Specialist-MFG

Remote - Georgia; Remote - Texas; San Francisco, California

executive
Full-time
English
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E

Posted 4 weeks ago

Applications closed

Junior AI Log Enrichment Analyst

Remote

London, United Kingdom (UTC+0)

job
Full-time
English
$60k – $80k / year
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G

Posted 4 weeks ago

Applications closed

AI Late-Arriving Data Reconciliation Engineer

Remote

Denver, United States (UTC-7)

job
Full-time
English
$80k – $100k / year
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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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