Remote positions

Remote SQL Jobs

Browse remote SQL positions — data engineering, analytics, and AI data pipeline roles at companies that run on data.

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Data Engineer Analytics Engineer SQL Developer Data Warehouse Engineer BI Engineer

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Jobs & Projects

S

Posted 7 months ago

Applications closed

Knowledge Graph Engineer — Pharmaceutical Research

SentinelFlow AI

Remote

senior
Full-time
English
$120k – $160k / year
Full page
Q

Posted 7 months ago

Applications closed

Data Engineer — Snowflake & dbt Migration

QuantumEdge

Remote

mid-level
freelance
English
Full page
R

Posted 7 months ago

Applications closed

Data Scientist — Telecom Churn Prediction

RouteAI

Remote

senior
Freelance
English
Full page
H

Posted 7 months ago

Applications closed

BI Developer — Tableau & SQL

Hibari Tech

Remote

mid-level
freelance
English
Full page
D

Posted 7 months ago

Applications closed

ML Engineer — Fraud Detection Model

Deepwave Systems

Remote

senior
freelance
English
Full page
H

Posted 7 months ago

Applications closed

Product Data Scientist - Logistics Reliability

HarborNest Data

Remote

mid-level
Full-time
English
$95k - $130k / year
Full page
L

Posted 7 months ago

Applications closed

Credit Risk Data Scientist - SMB Lending

LedgerBrook Analytics

Remote (US)

senior
Full-time
English
$125k - $165k / year
Full page
P

Posted 7 months ago

Applications closed

ML Engineer — Recommendation System Rebuild

PhotonSense

Remote

senior
freelance
English
Full page
M

Posted 7 months ago

Applications closed

AI Strategy Consultant — Digital Transformation

Meridian Analytics

Remote

senior
freelance
English
Full page
A

Posted 7 months ago

Applications closed

MLOps Engineer — Model Monitoring & Drift Detection

AidBridge Intelligence

Remote

mid-level
Freelance
English
Full page

Role guide

What to expect in remote SQL jobs

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 you'll work on

  • Build and optimise data models that feed ML training pipelines
  • Design analytics schemas for AI product performance dashboards
  • Write complex queries for feature engineering at scale
  • Maintain and improve dbt transformation layers in the data warehouse

What companies look for

  • Advanced query writing — window functions, CTEs, optimisation
  • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
  • dbt knowledge for transformation layer development

Frequently asked questions

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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