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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Remote worldwide
All job types
Data Engineer Analytics Engineer SQL Developer Data Warehouse Engineer BI Engineer

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Jobs & Projects

Snowflake

Posted 4 weeks ago

Software Engineer - AIM Virtualization

Snowflake

US-CA-Menlo Park

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Full-time
English
$157K – $230K / year
Full page
Hex

Posted 4 weeks ago

Data Person

Hex

San Francisco

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Full-time
English
$177K – $236K / year
Full page
ClickHouse

Posted 4 weeks ago

Full Stack Software Engineer - Control Plane

ClickHouse

The Netherlands · also open in 1 other location

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Full-time
English
$195K – $260K / year
Full page
Hex

Posted 4 weeks ago

Software Engineer, Developer Velocity

Hex

Remote - US

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Full-time
English
$199K – $265K / year
Full page
Snowflake

Posted 4 weeks ago

Solution Engineer, Enterprise Acquisition

Snowflake

US-PA-Remote

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Full-time
English
$165K – $217K / year
Full page
OpenAI

Posted 4 weeks ago

GTM Strategy & Operations, Professional Services

OpenAI

San Francisco

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Full-time
English
$293K – $325K / year
Full page
Hex

Posted 4 weeks ago

AI Research Engineer

Hex

New York

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Full-time
English
$214K – $285K / year
Full page
Runpod

Posted 4 weeks ago

Director, Analytics and Business Intelligence

Runpod

Remote - USA

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executive
Full-time
English
Full page
Hex

Posted 4 weeks ago

Customer Engineer

Hex

San Francisco

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Full-time
English
$166K – $205K / year
Full page
ClickHouse

Posted 4 weeks ago

Senior Technical Customer Support Engineer, Federal

ClickHouse

United States

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senior
Full-time
English
$139K – $194K / 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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