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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 closedJorvex Studio
Remote
New York, United States (UTC-5)
Creative teams produce ad variants by intuition and test them by running campaigns that cost $50,000 to learn which headline converts better. That fee...
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Posted 5 months ago
Applications closedKolvex Cloud
Remote
Chicago, United States (UTC-6)
Kubernetes makes it easy to run workloads. It makes it hard to know what each workload actually costs. Shared nodes, bursty resource usage, and the ga...
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Posted 5 months ago
Applications closedKrato AI
Remote
New York, United States (UTC-5)
The best customers you have not found yet look like your best customers. Lookalike modeling — building audience segments that share behavioral and dem...
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Posted 5 months ago
Applications closedLamion Solutions
Remote
New York, United States (UTC-5)
A physician note that is missing a diagnosis code, an incomplete medication reconciliation, or a discharge summary that does not mention a complicatio...
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Posted 5 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
Deploying a new model version is rarely just about the model. It touches the inference service, the feature pipeline that feeds it, the downstream ser...
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Posted 5 months ago
Applications closedLyrex Data
Remote
New York, United States (UTC-5)
Data teams build datasets, pipelines, and dashboards — but they rarely measure whether anyone actually uses them. A pipeline that runs daily and serve...
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Posted 5 months ago
Applications closedMendra Intelligence
Remote
New York, United States (UTC-5)
Trade-based money laundering — manipulating international trade invoices to move value across borders — is estimated to account for $1.6 trillion in i...
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Posted 5 months ago
Applications closedMevra Labs
Remote
Los Angeles, United States (UTC-8)
A long conversation history is both an asset and a liability. The asset: rich context about what the user has said, tried, and decided. The liability:...
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Posted 5 months ago
Applications closedGradrix Works
Remote
New York, United States (UTC-5)
Velocity abuse is fraud in slow motion. A single account makes 3 transactions per day — nothing alarming. Zoom out and you see 8,000 accounts followin...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
A refrigerated truck carrying $400,000 of pharmaceutical products experiences a compressor failure at 2 AM. The temperature creeps up 3 degrees over 6...
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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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