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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 closedBrenvo Tech
Remote
Berlin, Germany (UTC+1)
Chatbots are easy to build and hard to evaluate. Does the response actually answer the question? Is the tone appropriate? Did it hallucinate facts? Ou...
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Posted 5 months ago
Applications closedFarion Data
Remote
Chicago, United States (UTC-6)
Marketing teams spend millions across 15 channels and have no idea which dollar actually drove the sale. Last-click attribution is a lie. Multi-touch...
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Posted 5 months ago
Applications closedGravex Cloud
Remote
London, United Kingdom (UTC+0)
Fourteen ML teams deploy models independently, and nobody knows what's in production. Model versions are tracked in spreadsheets. Rollback procedures...
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Posted 5 months ago
Applications closedHoltix Solutions
Remote
New York, United States (UTC-5)
Accounts payable teams at mid-size companies process 3,000 invoices per month — matching each one against purchase orders, delivery receipts, and cont...
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Posted 5 months ago
Applications closedIntevo AI
Remote
Los Angeles, United States (UTC-8)
Two-sided marketplaces fail when supply and demand don't match. Too many sellers in one category and they all starve. Too few in another and buyers le...
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Posted 5 months ago
Applications closedJoltura Labs
Remote
Berlin, Germany (UTC+1)
Model performance degrades silently. A retrained model scores well on validation but produces subtly worse predictions in production because the data...
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Posted 5 months ago
Applications closedHalvio Tech
Remote
Berlin, Germany (UTC+1)
Our clients spend thousands per month on LLM API calls, and most of their prompts are inefficient — too long, poorly structured, or using expensive mo...
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Posted 5 months ago
Applications closedLyrex Data
Remote
Los Angeles, United States (UTC-8)
Centralized data teams are a bottleneck. Every analytics request goes through the same 6 engineers, and the backlog is 4 months deep. Our data mesh im...
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Posted 5 months ago
Applications closedNortex Solutions
Remote
London, United Kingdom (UTC+0)
Companies buy AI tools and then struggle to integrate them into existing workflows. The tool works in isolation, but the handoffs between AI and human...
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Posted 5 months ago
Applications closedRavio Tech
Remote
Chicago, United States (UTC-6)
QA teams need realistic test data, but production data is full of PII they can't use. Synthetic data generators produce data that looks realistic but...
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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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