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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 closedHoltix Solutions
Remote
New York, United States (UTC-5)
Matching a purchase order to an invoice sounds simple until the invoice is in euros, the PO is in dollars, the currency rate was locked at a different...
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Posted 5 months ago
Applications closedIlvix Works
Remote
New York, United States (UTC-5)
Merchant category codes tell you what kind of business a merchant claims to be. They do not tell you whether the business is a front for card testing,...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Chicago, United States (UTC-6)
A query that takes 4 minutes to run costs 10x more than one that takes 24 seconds. At petabyte scale across a shared data lakehouse serving 800 data s...
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Posted 5 months ago
Applications closedInovex Intelligence
Remote
New York, United States (UTC-5)
Shipping a breaking API change without a deprecation notice is one of the most reliable ways to destroy developer trust. It happens more often than it...
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Posted 5 months ago
Applications closedIntevo AI
Remote
Los Angeles, United States (UTC-8)
Trust in a two-sided marketplace is hard to measure and easy to destroy. A buyer who gets scammed does not just churn — they leave reviews, tell frien...
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Posted 5 months ago
Applications closedJaltrix Data
Remote
New York, United States (UTC-5)
Not all labeling tasks are equally hard, and not all annotators are equally accurate on all tasks. Matching the right annotator to the right task — an...
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Posted 5 months ago
Applications closedJarvik Solutions
Remote
Chicago, United States (UTC-6)
Customer success teams are reactive by default — they reach out when something goes wrong. The opportunity cost of that approach is enormous: accounts...
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Posted 5 months ago
Applications closedElara Intelligence
Remote
New York, United States (UTC-5)
An AI system that cannot explain its decisions is not explainable — it is just undocumented. Explainability in production means capturing not just the...
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Posted 5 months ago
Applications closedEmrex AI
Remote
New York, United States (UTC-5)
RAG systems fail quietly. The retrieval returns plausible-looking chunks that don't actually answer the question. The generation produces confident te...
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Posted 5 months ago
Applications closedEvorra Systems
Remote
New York, United States (UTC-5)
Every infrastructure change carries risk — but most organizations approve changes based on gut feel and verbal assurances. The engineer says the firew...
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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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