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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 closedQuelion Intelligence
Remote
New York, United States (UTC-5)
Financial regulators require banks to test their portfolios against extreme but plausible scenarios: a simultaneous market crash and interest rate spi...
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Posted 5 months ago
Applications closedQuelva Works
Remote
New York, United States (UTC-5)
Enterprises receive 50,000 inbound documents per month — invoices, contracts, compliance filings, customer correspondence, internal memos — and each o...
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Posted 5 months ago
Applications closedQuilvex Systems
Remote
Chicago, United States (UTC-6)
An insurance carrier's most profitable moment is policy renewal — no acquisition cost, known risk profile, and established relationship. But 22% of po...
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Posted 5 months ago
Applications closedRavio Tech
Remote
Berlin, Germany (UTC+1)
QA engineers spend 2 hours per day setting up test environments — provisioning databases, loading fixtures, configuring services, and waiting for ever...
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Posted 5 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
Bad data is the silent killer of ML models. A corrupted data feed that introduces null values, a schema change that shifts column meanings, or a third...
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Posted 5 months ago
Applications closedScirvex Intelligence
Remote
New York, United States (UTC-5)
Systematic reviews require researchers to extract methodology details from hundreds of papers: sample sizes, study designs, statistical methods, inter...
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Posted 5 months ago
Applications closedSelvix Works
Remote
New York, United States (UTC-5)
When a company files an amended 10-K with the SEC, lawyers need to know exactly what changed from the previous filing — not just which sections were e...
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Posted 5 months ago
Applications closedSoltix AI
Remote
Berlin, Germany (UTC+1)
Machine-translated subtitles range from perfectly natural to hilariously wrong — and the difference is often invisible to automated quality metrics. B...
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Posted 5 months ago
Applications closedTalmion Data
Remote
London, United Kingdom (UTC+0)
Personalization and privacy are usually presented as opposites — more data means better recommendations but worse privacy. We reject that trade-off. O...
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Posted 5 months ago
Applications closedTelvion Labs
Remote
New York, United States (UTC-5)
Everyone claims their synthetic data generator is the best, but there's no standard benchmark for comparing them. Utility metrics (does a model traine...
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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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