About fullthrottle.ai: 

At fullthrottle.ai, we're focused on delivering cutting-edge applications & data services to our clients, including advertising agencies, media companies and brands. Our patented, privacy-compliant technology powers next-level marketing by unlocking first-party data at scale—giving advertisers the edge they need in a cookieless world. 

Data Engineer (ETL/SQL)     

(Remote, Full-Time) 

Join Fullthrottle.ai, a cutting-edge Marketing Technology SaaS company, where our global software team operates seamlessly across 5 time zones and 6 countries, working collaboratively in a location-independent environment. Our teams thrive online, demonstrating autonomy, cooperation, and a shared commitment to ownership and excellence. 

We are currently seeking a dynamic and self-directed, mid-level Data Engineer (ETL/SQL) 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. 

RESPONSIBILITIES: 

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. 

REQUIREMENTS: 

• 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, Cloud Formation 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. 
  • 3+ years of experience in a similar ETL role is essential. Exposure to AI ML models and AI data solutions delivery a major plus. 
• Remote Team Experience: 1+ years of experience working in a distributed remote technology team (a 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:  

Candidates must have a reliable high-speed internet connection, fluent written/spoken English, and be located within +/- 6 hours of US Eastern Standard Time.