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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 closedUnvix Works
Remote
Berlin, Germany (UTC+1)
Legacy ETL pipelines are the technical debt nobody wants to touch. They're fragile, undocumented, and critical. Our platform uses AI to understand leg...
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Posted 5 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
Telecom networks generate 50 billion events per day. Hidden in that noise are the signals that predict outages, security breaches, and capacity exhaus...
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Posted 5 months ago
Applications closedWolvex Cloud
Remote
Los Angeles, United States (UTC-8)
Training ML models on sensitive data without exposing individual records is the defining challenge of enterprise AI adoption. Our privacy engineering...
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Posted 5 months ago
Applications closedXivio Solutions
Remote
New York, United States (UTC-5)
GPU clusters are expensive. Over-provision and you waste budget. Under-provision and training jobs wait in queue while researchers lose momentum. Our...
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Posted 5 months ago
Applications closedZenora Labs
Remote
London, United Kingdom (UTC+0)
Everyone claims their model beats the benchmark. But benchmarks themselves are full of contamination, metric gaming, and evaluation artifacts that mak...
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Posted 5 months ago
Applications closedAltrix Systems
Remote
Chicago, United States (UTC-6)
Knowledge graphs are only as useful as their schema. A poorly designed ontology creates a graph where nothing connects properly — entities are duplica...
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Posted 5 months ago
Applications closedRelvix Data
Remote
Berlin, Germany (UTC+1)
We manage data pipelines for 30 enterprise clients, and every one of them asks the same question: where does my data go, who has access, and is it com...
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Posted 5 months ago
Applications closedMevra Labs
Remote
New York, United States (UTC-5)
Traditional search returns a list of links. Our conversational search returns an answer — synthesized from internal knowledge bases, with citations, f...
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Posted 5 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
Enterprise operations generate millions of event logs — every click, approval, handoff, and delay captured in system audit trails. Process mining turn...
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Posted 5 months ago
Applications closedTuvex Solutions
Remote
New York, United States (UTC-5)
Support teams drown in repetitive questions that already have answers — scattered across wikis, past tickets, product docs, and Slack threads. Our AI...
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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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