Data & Software Engineer

About the role

FlightBI seeks a remote Data & Software Engineer spanning data engineering, applied data science, and SaaS software development. Work includes Python/SQL/Airflow ETL, large aviation datasets, statistical and demand-forecasting models, validation and data quality, Java/Spring Boot REST APIs, and Angular/TypeScript product work. Required: strong Python/SQL and programming/quantitative fundamentals, production-quality testing and communication, and US work authorization. Preferred: Snowflake, AWS, PostgreSQL, Git, ML, forecasting, and related tools. Full-time; listed pay $75,000-$125,000.

Requirements

• Bachelor's degree or higher in a quantitative or technical field, or equivalent relevant experience
• Strong Python and SQL skills
• Strong programming fundamentals and experience building software or data applications
• Analytical and quantitative problem-solving ability
• Ability to work with incomplete data and validate reasonableness
• Ability to investigate unfamiliar problems, learn quickly, and work independently
• Attention to data quality, testing, maintainability, and production reliability
• Clear written and verbal communication
• Legally authorized to work in the United States

What you'll do

• Build, maintain, and optimize data-processing and ETL workflows using Python, SQL, and Airflow
• Process large aviation, passenger, schedule, geographic, and travel datasets
• Develop and validate statistical, demand-estimation, forecasting, and allocation models
• Investigate data anomalies and build data-quality and validation processes
• Improve automation, scalability, reliability, and efficiency
• Translate analytics into SaaS product features
• Build backend services and REST APIs with Java and Spring Boot
• Contribute to Angular and TypeScript web applications
• Review, test, debug, and validate AI-assisted code and analytical outputs
• Take ownership of projects from raw data through production deployment

Where this was posted

• Indeed

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