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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 closedYalvex AI
Remote
Los Angeles, United States (UTC-8)
Model updates should be seamless — users shouldn't notice the transition from v2.3 to v2.4. Blue-green deployments make this possible by running both...
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Posted 5 months ago
Applications closedCandor Systems
Remote
New York, United States (UTC-5)
When an AI system makes a decision that affects someone's insurance premium, loan application, or medical treatment, regulators want to know exactly h...
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Posted 5 months ago
Applications closedElara Intelligence
Hybrid
London, United Kingdom (UTC+0)
Fairness means different things in different contexts. Demographic parity matters for hiring. Calibration matters for risk scoring. Equal opportunity...
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Posted 5 months ago
Applications closedGradrix Works
Remote
New York, United States (UTC-5)
Every international transaction must be screened against sanctions lists — OFAC, EU, UN, and 40 other regulatory bodies. Traditional screening uses fu...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Chicago, United States (UTC-6)
Data pipelines fail silently. A source system changes its schema, a transformation produces null values, or an ingestion job completes but processes z...
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Posted 5 months ago
Applications closedKrato AI
Remote
New York, United States (UTC-5)
Product teams need to know what competitors are doing — pricing changes, feature launches, messaging shifts, hiring patterns. But tracking 15 competit...
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Posted 5 months ago
Applications closedBreva AI
Remote
London, United Kingdom (UTC+0)
M&A due diligence requires reviewing thousands of contracts, financial statements, and regulatory filings under extreme time pressure. A typical deal...
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Posted 5 months ago
Applications closedDaeva Tech
Remote
Los Angeles, United States (UTC-8)
Detecting defects is step one. Understanding why they happen is where the real value lives. A scratch on a lens surface might be caused by contaminate...
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Posted 5 months ago
Applications closedJarvik Solutions
Remote
New York, United States (UTC-5)
New users sign up for our AI platform and immediately face a blank canvas. They know they want to automate something, but they don't know where to sta...
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Posted 5 months ago
Applications closedAltrix Systems
Remote
Berlin, Germany (UTC+1)
We're building a knowledge graph that connects 2 million biomedical entities — genes, proteins, diseases, drugs, and clinical trials — into a queryabl...
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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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