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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 closedQuilvex Systems
Remote
New York, United States (UTC-5)
Traditional actuarial models are built in R or Excel by people who learned their craft when GLMs were cutting edge. The insurance industry is starting...
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Posted 5 months ago
Applications closedRavio Tech
Remote
Los Angeles, United States (UTC-8)
Our platform generates synthetic test data and AI-powered test cases for software QA teams. We have 1,100 clients using it, and the most common feedba...
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Posted 5 months ago
Applications closedRelvix Data
Remote
Chicago, United States (UTC-6)
Data contracts are the API specification for your data infrastructure — they define what a dataset should contain, what types the fields must be, what...
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Posted 5 months ago
Applications closedScirvex Intelligence
Remote
New York, United States (UTC-5)
Academic researchers spend 15% of their time searching for grant opportunities and writing eligibility assessments. Most of that time is wasted on opp...
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Posted 5 months ago
Applications closedSelvix Works
Remote
New York, United States (UTC-5)
A partner at an Am Law 100 firm decides whether to take a contingency case partly by gut feel, because predicting litigation outcomes is genuinely har...
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Posted 5 months ago
Applications closedSoltix AI
Remote
Berlin, Germany (UTC+1)
Machine translation quality is easy to measure in controlled benchmarks and hard to measure in production. A BLEU score tells you nothing about whethe...
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Posted 5 months ago
Applications closedSynta Cloud
Remote
Chicago, United States (UTC-6)
Manufacturing defects are expensive. A batch of faulty parts discovered after assembly costs 10x more to fix than a defect caught on the production li...
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Posted 5 months ago
Applications closedNortex Solutions
Remote
Chicago, United States (UTC-6)
Document processing pipelines fail in boring but expensive ways. A vendor sends a PDF with rotated pages. A claim form arrives as a photo taken in low...
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Posted 5 months ago
Applications closedFelvix Tech
Remote
Berlin, Germany (UTC+1)
The EU AI Act just changed the game for every company deploying AI in Europe. Our clients — mostly mid-size SaaS companies — need help figuring out wh...
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Posted 5 months ago
Applications closedEvorra Systems
Remote
London, United Kingdom (UTC+0)
We help companies understand whether their AI investments are actually paying off. Not with vibes — with numbers. Our analytics platform tracks AI pro...
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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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