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Browse remote SQL positions — data engineering, analytics, and AI data pipeline roles at companies that run on data.
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Posted 10 months ago
Applications closedClinicLedger Analytics
Remote
Our clinics are overloaded in some locations and underused in others. The scheduling team knows this from experience, but leadership needs a data-back...
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Posted 10 months ago
Applications closedMediqAI
Remote
Consumer goods company. 4 brands. We monitor Twitter, Instagram, TikTok comments and Google reviews — currently manually, by two people who read throu...
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Posted 10 months ago
Applications closedAfriPay AI
Remote
We build AI tools for small business owners. 22k users. We have a lot of usage data but not much insight into why people use certain features and aban...
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We rolled out an AI tool to our 400-person sales team 3 months ago. Adoption is 22%. The other 78% opened it once, decided it wasn't worth the effort,...
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Role guide
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 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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