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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 closedDelven Labs
Remote
New York, United States (UTC-5)
Our threat detection platform analyzes 500 million network events per day for mid-size enterprises. Traditional SIEM rules catch the obvious stuff. Ou...
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Posted 5 months ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
Payment routing sounds simple until you realize there are 14 different processors, each with different fees, approval rates, currency support, and dow...
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Posted 5 months ago
Applications closedLamion Solutions
Remote
Chicago, United States (UTC-6)
Clinical notes are the most valuable and least structured data in healthcare. Doctors write them in shorthand, with abbreviations, typos, and domain-s...
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Posted 5 months ago
Applications closedJaltrix Data
Remote
Chicago, United States (UTC-6)
Every ML model is built on labeled data, and bad labels produce bad models. We manage data labeling operations for AI companies that need high-quality...
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Posted 5 months ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
Subscription businesses live and die by MRR predictability. Investors want reliable ARR forecasts; finance needs accurate 12-month revenue projections...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
New York, United States (UTC-5)
Change Data Capture pipelines move database changes into data warehouses and feature stores in real time — but only if you can handle the operational...
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Posted 5 months ago
Applications closedInovex Intelligence
Remote
Los Angeles, United States (UTC-8)
Code reviews catch bugs, enforce style, and spread knowledge — but they're also a bottleneck that delays shipping. The average PR waits 18 hours for i...
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Posted 5 months ago
Applications closedIntevo AI
Remote
New York, United States (UTC-5)
Not all buyers respond the same way to price changes. A price-sensitive segment will defect to a competitor for a 10% discount; a value-driven segment...
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Posted 5 months ago
Applications closedJaltrix Data
Remote
New York, United States (UTC-5)
Full automation isn't always the goal. For high-stakes decisions — medical diagnoses, legal classifications, content moderation at scale — the right a...
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Posted 5 months ago
Applications closedJarvik Solutions
Remote
Chicago, United States (UTC-6)
Customer success teams manage hundreds of accounts and need to prioritize their attention. Which accounts are thriving and don't need hand-holding? Wh...
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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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