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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 closedXivio Solutions
Remote
Chicago, United States (UTC-6)
GPU clusters are the most expensive line item in any AI company's budget, and most teams have no idea what next month's bill will look like. A single...
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Posted 5 months ago
Applications closedYalvex AI
Remote
Los Angeles, United States (UTC-8)
Rolling back a model version sounds simple until you realize the downstream impact. A recommendation model rollback might invalidate cached recommenda...
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Posted 5 months ago
Applications closedYentrix Works
Remote
Berlin, Germany (UTC+1)
Product changelogs say what changed. Documentation says how things work. When a changelog announces "Added support for batch processing in the /predic...
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Posted 5 months ago
Applications closedZaltex Data
Remote
Los Angeles, United States (UTC-8)
Public transit agencies set schedules months in advance based on historical ridership averages. But ridership patterns have changed dramatically — rem...
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Posted 5 months ago
Applications closedZelux Studio
Remote
New York, United States (UTC-5)
ESG reporting is a mess. Companies disclose environmental, social, and governance data in annual reports, sustainability filings, and investor present...
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Posted 5 months ago
Applications closedAltrix Systems
Remote
London, United Kingdom (UTC+0)
Our knowledge graph contains 14 million entities and 89 million edges. Complex queries that traverse 4+ hops — like "find all companies linked to this...
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Posted 5 months ago
Applications closedArca Works
Remote
New York, United States (UTC-5)
The EU AI Act requires Algorithmic Impact Assessments for high-risk AI systems. Canada's AIDA has similar requirements. These assessments evaluate an...
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Posted 5 months ago
Applications closedTrivon Data
Remote
New York, United States (UTC-5)
Sports analytics platforms drown in data — 4,000 data points per NBA game, 1,200 per soccer match, real-time odds from 40 bookmakers. The teams and be...
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Posted 5 months ago
Applications closedTuvex Solutions
Remote
Chicago, United States (UTC-6)
Support teams answer the same questions hundreds of times. Our FAQ generator analyzes support ticket history, identifies recurring question patterns,...
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Posted 5 months ago
Applications closedUelvex Cloud
Remote
Los Angeles, United States (UTC-8)
When an API client suddenly sends 10x more requests than usual, is it a successful product launch or a runaway script that's about to blow through 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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