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

Supabase

Posted 4 weeks ago

Database Support Engineer (AMER)

Supabase

Remote, AMER

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Full-time
English
aws sql vector databases supabase
Full page
OpenAI

Posted 4 weeks ago

Data Scientist, Safety

OpenAI

San Francisco

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Full-time
English
$265K – $380K / year
Full page
Wayve

Posted 4 weeks ago

Senior / Staff Systems Engineer, AI Validation

Wayve

Sunnyvale, California USA

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staff
Full-time
English
$210K – $311K / year
Full page
Supabase

Posted 4 weeks ago

Database Support Engineer (EMEA)

Supabase

Remote, EMEA

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Full-time
English
aws sql vector databases supabase
Full page
Snowflake

Posted 4 weeks ago

Senior Product Manager - AI Migrations

Snowflake

US-CA-Menlo Park

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senior
Full-time
English
$236K – $339K / year
Full page
Lambda

Posted 4 weeks ago

Senior FP&A Analyst - Public Cloud

Lambda

San Francisco Office (Fremont St)

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senior
Full-time
English
$169K – $200K / year
sql machine learning
Full page
Supabase

Posted 4 weeks ago

Database Support Engineer (APAC)

Supabase

Remote, APAC

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Full-time
English
aws sql vector databases supabase
Full page
Lambda

Posted 4 weeks ago

Internal Tools & Data Product Analyst

Lambda

San Francisco Office (Fremont St)

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intern
Full-time
English
$150K – $200K / year
sql machine learning
Full page
OpenAI

Posted 4 weeks ago

Capacity Systems Software Engineer

OpenAI

San Francisco

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Full-time
English
$347K – $445K / year
python sql distributed systems typescript
Full page
Snowflake

Posted 4 weeks ago

Staff Software Engineer - Unistore

Snowflake

US-CA-Menlo Park

Apply on the company's site

staff
Full-time
English
$236K – $339K / 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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