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.