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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 5 months ago
Applications closedMendra Intelligence
Remote
New York, United States (UTC-5)
Most data breaches involve an insider — either a malicious employee, a compromised account, or a negligent user. Traditional DLP systems catch obvious...
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Posted 5 months ago
Applications closedMevra Labs
Remote
Chicago, United States (UTC-6)
Conversational AI systems have a memory problem: they forget everything when the context window fills up. A customer who explained their situation 10...
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Posted 5 months ago
Applications closedMivex Cloud
Remote
New York, United States (UTC-5)
A GPU cluster shared across 30 data science teams is a recipe for conflict. The PhD researcher running a 3-day training job blocks the engineer who ju...
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Posted 5 months ago
Applications closedNavio Tech
Remote
New York, United States (UTC-5)
When an API breaks backward compatibility, thousands of developers need to update their code. The migration guide exists, but applying it requires rea...
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Posted 5 months ago
Applications closedHalvio Tech
Remote
New York, United States (UTC-5)
Enterprise brands produce thousands of content pieces per month — blog posts, social updates, email campaigns, ad copy, support responses — and mainta...
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Posted 5 months ago
Applications closedHoltix Solutions
Remote
Chicago, United States (UTC-6)
Three-way matching — verifying that a purchase order, goods receipt, and vendor invoice all agree on quantity and price — is one of the most tedious t...
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Posted 5 months ago
Applications closedGradrix Works
Remote
New York, United States (UTC-5)
Synthetic identity fraud is the fastest-growing financial crime in the US — fraudsters combine real and fabricated identity elements to create persona...
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Posted 5 months ago
Applications closedGravex Cloud
Remote
Berlin, Germany (UTC+1)
Data scientists run hundreds of experiments per week — different hyperparameters, architectures, training data subsets, preprocessing steps — and keep...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Grocery retailers throw away $18.2 billion in fresh produce every year because they can't predict when items will expire. A strawberry batch from farm...
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Posted 5 months ago
Applications closedBrenvo Tech
Remote
New York, United States (UTC-5)
Chatbot conversations are easy to generate and hard to evaluate. BLEU scores and perplexity tell you nothing about whether the bot actually solved the...
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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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