Junior Developer / Data Engineer – AI… at The Hartford · Columbus…

Summary: The Hartford is an insurance company committed to making a difference and shaping the future of insurance through data, AI, and modern engineering. They are seeking a Junior Developer / Junior Data Engineer to join their AI Enablement organization, where the role focuses on contributing to real, production-grade AI and data platforms under the guidance of experienced team members. Responsibilities: - Contribute to the development of data pipelines, APIs, and services supporting AI and analytics platforms - Assist in building and maintaining cloud-based data workflows for structured and unstructured data - Write clean, well-documented, and testable code following established standards - Support AI platforms such as: Synthetic data generation components (Deep Synthetic Foundry), Text and document processing pipelines (OCR, NLP, IDP), Image or multimodal data workflows - Implement clearly defined features or enhancements under guidance from senior engineers - Work with SQL and cloud data platforms (e.g., Snowflake) to ingest, transform, and validate data - Help ensure data quality, reliability, and performance in production pipelines - Learn best practices for monitoring, logging, and operational support - Partner with Data Scientists, Engineers, and Product team members on shared goals - Participate in design discussions, sprint planning, and code reviews - Continuously learn modern tools, frameworks, and AI-related technologies Required Qualifications: - Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) - 0–2 years of experience (including internships, co-ops, or academic projects) - Familiarity with Python and basic software development concepts - Basic knowledge of SQL and data structures - Interest in data engineering, analytics, or AI systems - Strong communication skills and willingness to learn Preferred Qualifications: - Exposure to cloud platforms or modern data stacks - Experience with APIs, ETL pipelines, or data processing frameworks - Coursework or projects related to data engineering, machine learning, or analytics - Curiosity about AI, NLP, computer vision, or synthetic data (experience not required) Required Skills: Python, SQL, Data Engineering, APIs, ETL pipelines, Data Processing Frameworks, Machine Learning, Cloud Platforms, Data Structures, Willingness to learn Benefits: Short-term or annual bonuses, Long-term incentives, On-the-spot recognition