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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
Chicago, United States (UTC-6)
Our fraud detection models flag 800 transactions per day as potentially suspicious. Most of them aren't. As a transaction monitoring analyst, you'll i...
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Posted 5 months ago
Applications closedOrvix Works
Remote
New York, United States (UTC-5)
Retailers hold $1.5 trillion in excess inventory globally. Every unsold item represents tied-up capital, warehouse costs, and eventually, markdowns th...
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Posted 5 months ago
Applications closedPaleon Data
Remote
Berlin, Germany (UTC+1)
Insurance companies need to price climate risk 30 years into the future. Traditional actuarial models use historical loss data that no longer reflects...
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Posted 5 months ago
Applications closedQuelion Cloud
Remote
Los Angeles, United States (UTC-8)
Vector search is easy at 1 million documents. At 500 million, everything breaks — index sizes exceed memory, query latency spikes, and the cost of re-...
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Posted 5 months ago
Applications closedSoltix AI
Remote
London, United Kingdom (UTC+0)
Professional translators reuse previous translations to maintain consistency — the same product name should be translated the same way every time, acr...
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Posted 5 months ago
Applications closedUlvex Systems
Remote
New York, United States (UTC-5)
When an ML model misbehaves in production, the clock starts ticking. Customer trust erodes with every bad prediction served. Our observability platfor...
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Posted 5 months ago
Applications closedWavion Intelligence
Remote
Berlin, Germany (UTC+1)
Product catalogs are only searchable if the taxonomy makes sense. But taxonomies evolve — new product categories emerge, old ones become obsolete, and...
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Posted 5 months ago
Applications closedYentrix Works
Remote
Chicago, United States (UTC-6)
Engineering teams hate writing documentation but need it desperately. Our automation platform generates documentation from source code, commit histori...
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Posted 5 months ago
Applications closedZaltex Data
Hybrid
New York, United States (UTC-5)
Retailers deciding where to open the next store need more than foot traffic data. They need AI that combines demographic trends, competitor proximity,...
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Posted 5 months ago
Applications closedCorvex Intelligence
Remote
New York, United States (UTC-5)
Cyber threat actors move faster than human analysts can track. Our threat intelligence platform ingests data from dark web forums, malware repositorie...
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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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