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Hire Vetted SQL Data Engineers

Browse data engineers and analysts with production SQL expertise for AI pipelines, analytics infrastructure, and decision-support systems — from dbt transformations to feature store design.

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Stijn

Stijn

Junior
Netherlands — Amsterdam (UTC+2) Contract, Freelance
AI & Machine Learning Engineers data science & analytics
python javascript sql r ai +5
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Viren

Viren

Junior
India — Kolkata (UTC+5.5) Full Time, Part Time
AI & Machine Learning Engineers data science & analytics
python sql scikit-learn pytorch langchain +5
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Uriel

Uriel

Senior
Canada — Toronto (UTC-4) Full Time, Part Time
AI & Machine Learning Engineers NLP & Prompt Engineering
python tensorflow pytorch langchain docker +4
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Dzunisani

Dzunisani

Mid-Level
South Africa — Johannesburg (UTC+2) Active 59 minutes ago Full-time, Part-time
AI & Machine Learning Engineers NLP & Prompt Engineering
python sql pandas hugging face prompt engineering +5
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Raza

Raza

Mid-Level
Pakistan — Karachi (UTC+5) Active 15 hours ago Full-time, Part-time
AI Product & Strategy Automation & AI Workflows
power bi tableau r python sql +2
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Yuwetha

Yuwetha

Junior
Sri Lanka — Colombo (UTC+5.5) Part-time, Full-time
NLP & Prompt Engineering AI Business, Marketing & Strategy
python sql tensorflow pytorch pandas +5
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Parker

Parker

Senior
Canada — Vancouver (UTC-7) Part-time, Freelance
data science & analytics AI & Machine Learning Engineers
python statistics sql pandas scikit-learn +5
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Akmal

Akmal

Mid-Level
Indonesia — Jakarta (UTC+7) Full-time, Part-time
AI & Machine Learning Engineers data science & analytics
python tensorflow pytorch computer vision llm fine-tuning +5
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Chukwuemeka

Chukwuemeka

Junior
Nigeria — Lagos (UTC+1) Full-time, Part-time
data science & analytics
python sql scikit-learn pandas numpy +4
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Mohammad Mughrabi

Mohammad Mughrabi

Mid-Level
Palestine — Hebron (UTC+3) Part-time, Freelance
NLP & Prompt Engineering data science & analytics
python sql numpy pandas openai api +5
Open profile

Hiring guide

Why companies hire SQL experts

SQL remains the backbone of data engineering in AI companies. From feature stores and training data pipelines to analytics dashboards and business intelligence, strong SQL engineers accelerate every data-intensive AI initiative.

Popular projects

  • Design and optimise your AI training data warehouse
  • Build automated analytics dashboards surfacing AI KPIs
  • Create feature engineering pipelines for ML model training
  • Migrate your data infrastructure to Snowflake or BigQuery

What to look for

  • Advanced query optimisation and window function expertise
  • Experience with cloud data warehouses (Snowflake, BigQuery, Databricks)
  • Understanding of data modelling for both analytics and ML use cases

Frequently asked questions

Why does an AI company need strong SQL engineers?

AI models are only as good as their training data. SQL engineers build the data pipelines that clean, transform, and structure the data your models learn from — and the analytics infrastructure that measures your AI product's impact.

What is the difference between a SQL analyst and a SQL data engineer?

Analysts focus on querying and insight. Data engineers build the pipelines, transformations, and infrastructure that make reliable data available at scale for both analytics and ML workloads.

Do SQL engineers on RemoteAI know dbt?

Many do. dbt has become the standard SQL transformation layer in modern data stacks. SQL engineers with dbt experience can design modular, testable transformation pipelines directly in your data warehouse.

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