Remote positions

Remote SQL Jobs

Browse remote SQL positions — data engineering, analytics, and AI data pipeline roles at companies that run on data.

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Data Engineer Analytics Engineer SQL Developer Data Warehouse Engineer BI Engineer

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Jobs & Projects

Motional

Posted 3 weeks ago

Principal Engineer Team Lead, Simulation Infrastructure

Motional

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

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principal
Full-time
English
$200K – $275K / year
Full page
Cohere

Posted 3 weeks ago

Senior Full-Stack Engineer, Cohere Dashboard

Cohere

Toronto

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senior
Full-time
English
C$230K – C$295K / year
sql typescript next.js
Full page
Snowflake

Posted 3 weeks ago

Technical Program Manager

Snowflake

US-NY-New York City-Remote

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Full-time
English
$221K – $317K / year
Full page
Snowflake

Posted 3 weeks ago

AI Associate, Office of the CEO

Snowflake

US-CA-Menlo Park

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Full-time
English
$140K – $184K / year
Full page
Tonicai

Posted 3 weeks ago

Forward Deployed Engineer, Data De-Identification

Tonicai

Remote

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Full-time
English
$120K – $180K / year
Full page
Snowflake

Posted 3 weeks ago

Project Manager (French)

Snowflake

FR-France-Remote

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Full-time
English
Full page
Zowie

Posted 3 weeks ago

(AI-native) Product Engineer

Zowie

Poland

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Full-time
English
python docker sql generative ai kafka +1 more
Full page
Benchling

Posted 3 weeks ago

Technical Account Manager

Benchling

Boston, MA

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Full-time
English
$93K – $126K / year
Full page
Benchling

Posted 3 weeks ago

Product Manager, Process Execution

Benchling

San Francisco, CA

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Full-time
English
$163K – $221K / year
Full page
Benchling

Posted 3 weeks ago

Data Engineer

Benchling

San Francisco, CA

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Full-time
English
$153K – $207K / year
Full page

Role guide

What to expect in remote SQL jobs

SQL remains the most fundamental skill for working with data, and remote SQL jobs at AI companies reflect that. Roles range from analytics engineering and data warehousing to ML data pipeline development. Strong SQL engineers who also understand modern data stacks (dbt, Snowflake, BigQuery) are consistently in demand.

What you'll work on

  • Build and optimise data models that feed ML training pipelines
  • Design analytics schemas for AI product performance dashboards
  • Write complex queries for feature engineering at scale
  • Maintain and improve dbt transformation layers in the data warehouse

What companies look for

  • Advanced query writing — window functions, CTEs, optimisation
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • dbt knowledge for transformation layer development

Frequently asked questions

What SQL jobs are available remotely at AI companies?

Data engineering, analytics engineering, and BI development roles are the most common. Many also require dbt and a cloud data warehouse like Snowflake or BigQuery alongside SQL proficiency.

Is SQL enough, or do I also need Python for remote data roles?

Python significantly broadens your options. Pure SQL roles exist — especially in analytics engineering — but most data engineering positions at AI companies require both SQL and Python.

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