Data Engineer

What sets INVID apart is our collaborative and flexible work environment. We encourage our team to raise the bar in everything they do while maintaining a healthy work-life balance. With our hybrid work model, team members thrive both in the office and remotely. We foster a culture of mutual respect, autonomy, and accountability, where your voice matters and your growth is supported. From structured career paths and paid professional development to access to industry events, we’re committed to your success. Join us at INVID, where innovation meets support, and together we deliver excellence. Job Description We are hiring a Data Engineer to build the data infrastructure powering our predictive analytics initiative. You will create the pipelines that turn raw vessel tracking data into training datasets for ML models. The core challenge: we have rich behavioral data (vessel positions, AIS gaps, ship-to-ship transfers, spoofing events) but limited labeled outcomes (confirmed violations, detentions, seizures). You will build pipelines that create usable training data through proxy labels, data joins, and outcome correlation. Responsibilities Build labeling pipelines that join behavioral events to outcome data (sanctions designations, flag changes, detentions) Implement proxy labeling strategies that create training signal from observable outcomes Build weak supervision infrastructure to combine multiple noisy labeling rules Create and maintain ML training datasets at scale Build data validation and quality monitoring systems Implement versioning for reproducible model training Integrate LRIT position data for prediction validation Build pipelines that compare predicted locations against actual LRIT reports Create feedback loops that improve model accuracy over time Scale data infrastructure as models and data sources grow Required Skill 4+ years data engineering experience Strong SQL skills, including complex joins across large datasets Experience with Spark, Airflow, or equivalent distributed processing frameworks Python for data processing and pipeline orchestration AWS experience Understanding of ML training data requirements Education/Certifications Bachelor's Degree in Computer Science, Engineering, or related field Desired Skills (Not Required) Experience with geospatial data (PostGIS, H3, spatial joins) Maritime, defense, or intelligence domain experience Experience with data labeling infrastructure or weak supervision Familiarity with real-time streaming data systems Important: Must be a U.S. citizen and a U.S. resident This job works on a hybrid work modality (San Juan, Puerto Rico) Must have a valid driver's license EEO