> Markdown version of [/jobs/ext/1919227-sql-etl-developer](https://www.wearedevelopers.com/jobs/ext/1919227-sql-etl-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SQL/ETL Developer - **Company:** FULLTHROTTLE LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Encodings, Databases, Data Cleansing, Data Integrity, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Relational Databases, Integrated Development Environments, Python (Programming Language), Machine Learning, NLTK (NLP Analysis), NumPy, OpenCV, Performance Tuning, Scrum Methodology, Tensorflow, SQL Databases, Reinforcement Learning, Data Processing, Freeform SQL, Feature Engineering, Pytorch, Model Validation, Keras, Cloudformation, Pandas, Scikit Learn, Machine Learning Operations, Functional Programming, Spacy, Serverless Computing, Programming Languages - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=26ec99e60b964997 ## About the Role We are currently seeking a dynamic and self-directed mid-level SQL/ETL Developer with a minimum of 3 years of ETL development experience to contribute to our innovative projects. The ideal candidate should possess strong communication skills, a solution-oriented mindset, and the ability to excel in a fast-paced Continuous Development Agile Environment., Programming Languages and Skills * Python: Strong proficiency is required. Familiarity with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, and potentially others, depending on the domain (e.g., OpenCV for image processing, NLTK/SpaCy for NLP). * SQL: Excellent skills in writing and optimizing complex SQL queries for data extraction, manipulation, and analysis from relational databases. * R: experience of R would be a plus, though not a requirement. * Hands-on experience of the various AWS Database & ETL services, particularly: S3, Python code, Lambda, CloudFormation, and other AWS serverless resources. * Active participation in Agile teams, collaborating with team members to review user stories, estimate effort, and contribute to sprint reviews. * Solid understanding of various ML algorithms (supervised, unsupervised, reinforcement learning). * Experience in training, evaluating, and deploying ML models would be a plus. * Knowledge of model selection, hyperparameter tuning, and cross-validation techniques. * Familiarity with ML frameworks and libraries mentioned above. * 2+ years of experience in a similar ETL role is essential. Exposure to AI ML models and AI data solutions delivery a major plus. PERSONAL PROFILE: We are seeking long-term team members who align with our values and can thrive in our distributed Continuous Development Agile Scrum team. Ideal candidates will be: * Self-directed and self-motivated with a proven ability to deliver results. * Strong communicators, capable of summarizing key deliverables and meeting daily deadlines. * Experienced in a fast-paced Agile/Scrum development environment. * Comfortable working in a distributed development environment with remote colleagues. * Proven team players. Remote Minimum Requirements: * Remote Team Experience: 1+ years of experience working in a distributed remote technology team (a plus). * Candidates must have a reliable high-speed internet connection, fluent written/spoken English, and be located within +/- 6 hours of US Eastern Standard Time. SQL/ETL Developer ## Description ETL Responsibilities (80% of role) * Manage ETL process, translate complex business requirements into scalable and efficient data solutions. * Investigate and troubleshoot data and user-related system errors to ensure data integrity. * Implement ETL processes to extract, transform, and load data from multiple sources into a data warehouse. AI Data Preparation / Insights (20% of role) * AI Data Wrangling and Preparation * + Cleaning, transform, and prepare large and complex datasets. + Handling missing values, outliers, inconsistencies, and data quality issues. + Data scaling, normalization, encoding, and feature engineering techniques. * AI Data Planning to achieve FT's AI Strategy. * Applying ML models to our prepared Data to gain insight. * Augmenting Models with our data to enable achievement of AI strategies. * Designing, training, evaluating, and deploying ML models, integrating AI solutions into applications, and working with large datasets. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Vectorize all the things! 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