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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 4 months ago
Applications closedGravex Cloud
Remote
Chicago, United States (UTC-6)
Three months ago, a model in production was making predictions that degraded silently for 11 days before anyone noticed. The postmortem showed the roo...
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Posted 4 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Black Friday. Valentine's Day. The week before Thanksgiving. Back-to-school. These demand spikes are predictable — but predicting their magnitude prec...
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Posted 4 months ago
Applications closedHalvio Tech
Remote
New York, United States (UTC-5)
Content teams produce. Content rarely knows if it worked. Our platform serves 160 B2B content marketing teams, and the gap between 'we published 40 pi...
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Posted 4 months ago
Applications closedHoltix Solutions
Remote
New York, United States (UTC-5)
We process 40,000 financial documents per month. Invoices, purchase orders, receipts — that pipeline runs smoothly. Contracts are the next frontier, a...
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Posted 4 months ago
Applications closedIlvix Works
Remote
Chicago, United States (UTC-6)
Individual transaction fraud models are good at catching individual fraudsters. They're bad at catching fraud rings — coordinated networks where indiv...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
We process 4 petabytes per month across our clients' data lakes, and the query costs that land on their AWS bills every month are rarely what anyone e...
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Posted 4 months ago
Applications closedIntevo AI
Remote
New York, United States (UTC-5)
Our marketplace has 2.8 million active listings. 340,000 of them have product descriptions under 50 words. 180,000 have no category assignment. 95,000...
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Posted 4 months ago
Applications closedJaltrix Data
Remote
Chicago, United States (UTC-6)
Labeling data is expensive. Our clients spend $0.04-$0.12 per labeled example and produce 50,000 new labels per week, which means annotation budgets a...
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Posted 4 months ago
Applications closedJarvik Solutions
Remote
New York, United States (UTC-5)
Every customer success team has a lifecycle model on paper. Few have one that actually drives automated action. The gap between 'we know customers go...
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Posted 4 months ago
Applications closedJoltura Labs
Remote
Chicago, United States (UTC-6)
Code coverage at 85% sounds safe. But coverage measures which lines were executed, not whether the right behavior was tested. You can execute every li...
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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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