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

ClickHouse

Posted 1 month ago

Director of Product, ClickHouse Cloud

ClickHouse

United States

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executive
Full-time
English
$210K – $310K / year
sql etl snowflake distributed systems bigquery
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Snowflake

Posted 1 month ago

Director of Engineering, AI Functions

Snowflake

US-CA-Menlo Park

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executive
Full-time
English
$264K – $380K / year
Full page
ClickHouse

Posted 1 month ago

Principal Product Manager - ClickHouse Cloud

ClickHouse

United States

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principal
Full-time
English
$210K – $310K / year
Full page
Lambda

Posted 1 month ago

Hardware Quality Engineer

Lambda

San Jose Office (Zanker)

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Full-time
English
$135K – $180K / year
machine learning python sql machine learning statistics
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Snowflake

Posted 1 month ago

Software Engineer - Backend

Snowflake

US-CA-Menlo Park

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

Posted 1 month ago

Solutions Engineer

Snowflake

MX-Mexico-Remote

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Full-time
English
Full page
Fivetran

Posted 1 month ago

Senior Pricing Data Scientist

Fivetran

Remote, California, United States, AMER

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senior
Full-time
English
$209K – $262K / year
Full page
Snowflake

Posted 1 month ago

Solutions Architect

Snowflake

IL-Israel-Remote

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Full-time
English
machine learning python sql machine learning spark +4 more
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OpenAI

Posted 1 month ago

Data Scientist, B2B Demand Generation, Growth & Measurement

OpenAI

San Francisco

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Full-time
English
$293K – $385K / year
Full page
Perplexity

Posted 1 month ago

Member of Data Staff (Analytics Engineer)

Perplexity

San Francisco

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staff
Full-time
English
$175K – $330K / 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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