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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 4 months ago
Applications closedTelvion Labs
Remote
Los Angeles, United States (UTC-8)
Tabular data synthesis is a solved problem — imperfectly, but the techniques are mature. Time-series synthesis is much harder: temporal structure, aut...
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Posted 4 months ago
Applications closedTolvex Studio
Remote
New York, United States (UTC-5)
A/B testing one creative element at a time is slow. Multivariate testing — testing multiple elements simultaneously (headline, image, call-to-action,...
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Posted 4 months ago
Applications closedTuvex Solutions
Remote
Chicago, United States (UTC-6)
Customer support tickets don't escalate randomly. The tickets that become escalations — agent-to-supervisor transfers, executive complaints, social me...
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Posted 4 months ago
Applications closedUelvex Cloud
Remote
New York, United States (UTC-5)
An API platform's health is determined not just by its own uptime and latency but by the health of the ecosystem built on top of it. A partner integra...
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Posted 4 months ago
Applications closedUlara AI
Remote
Los Angeles, United States (UTC-8)
Speaker verification — confirming that a voice belongs to a specific enrolled speaker — is a widely deployed biometric authentication mechanism. The a...
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Posted 4 months ago
Applications closedUlvex Systems
Remote
Chicago, United States (UTC-6)
On-call engineers are woken up at 2am to respond to alerts. If those alerts are noisy — firing on transient issues, firing on things that resolve them...
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Posted 4 months ago
Applications closedUnvix Works
Remote
New York, United States (UTC-5)
A data platform team running 200 production pipelines often has no idea which pipelines are responsible for 80% of compute costs. Data pipeline cost a...
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Posted 4 months ago
Applications closedValtrix Solutions
Remote
New York, United States (UTC-5)
Flood risk is one of the fastest-growing unpriced risks in residential real estate. FEMA flood maps are notoriously outdated — many were last revised...
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Posted 4 months ago
Applications closedVelmox Data
Remote
Chicago, United States (UTC-6)
Online feature stores serve model inference in real time. When a feature goes stale — when the last successful update is 4 hours ago for a feature exp...
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Posted 4 months ago
Applications closedVelvix Labs
Hybrid
Timezone not specified
LLMs hallucinate. The research community knows this. What is not yet solved is how to measure it rigorously and at scale: which kinds of questions tri...
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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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