Remote SQL & ETL Engineer for AI Data Prep

fullthrottle.ai®

United States

On-site

USD 80,000 - 120,000

Full time

14 days+
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Job summary

Fullthrottle.ai is seeking a dynamic mid-level SQL/ETL Developer to join our remote data team. You will translate complex business requirements into scalable ETL pipelines and support data warehousing initiatives, with 80% ETL focus and 20% AI data preparation.

You have 2+ years of ETL experience, strong Python and SQL skills, plus hands-on AWS data services. You’ll work in an Agile environment with distributed colleagues, delivering reliable data solutions and enabling ML models with clean,

Qualifications

  • 2+ years of ETL experience in data integration and warehousing.
  • Proficiency in Python, SQL, and ML concepts.
  • Experience with AWS data services and serverless resources.
  • Familiar with Agile/Scrum development.
  • Strong communication and remote collaboration skills.

Responsibilities

  • Manage ETL processes and translate business requirements into scalable data solutions.
  • Investigate data and user-related system errors to ensure data integrity.
  • Implement ETL to load data from multiple sources into a data warehouse.
  • AI data wrangling and preparation: cleaning, transforming, and preparing large datasets.
  • Design, training, evaluating, and deploying ML models and integrating AI into applications.

Skills

Python
SQL
ML concepts
Agile/Scrum
Pandas
NumPy
Scikit-learn
TensorFlow/Keras/PyTorch
English communication

Tools

AWS (S3, Lambda, CloudFormation)
Data Warehousing
ETL Tools
Relational databases

Job description

Fullthrottle.ai is seeking a dynamic mid-level SQL/ETL Developer to join our remote data team. You will translate complex business requirements into scalable ETL pipelines and support data warehousing initiatives, with 80% ETL focus and 20% AI data preparation.

You have 2+ years of ETL experience, strong Python and SQL skills, plus hands-on AWS data services. You’ll work in an Agile environment with distributed colleagues, delivering reliable data solutions and enabling ML models with clean,

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