Hyly.AI

Senior Data Engineer - 100% Remote

Posted: 5 days ago

Job Description

Company DescriptionHyly.AI is the multifamily industry’s premier Intelligence Fabric™, combining Artificial, Business, and Human intelligence into one unified operating system for growth. The platform transforms raw data into actionable outcomes by encoding human expertise into reusable and scalable nodes, making operations more efficient and measurable. Founded in 2010, Hyly.AI has over a decade of experience empowering multifamily leaders to streamline prospect and resident journeys while improving marketing ROI. Trusted by 4 of the top 5 NMHC managers, Hyly.AI ensures scalable operations without adding extra headcount, helping teams focus on building strong communities people love.Role DescriptionThe Data Engineering Developer plays a key role in designing and optimizing scalable ELT pipelines in BigQuery, leveraging tools such as DBT to build robust, testable, and maintainable data models. This role focuses on improving data quality, system reliability, and performance through well-structured transformations, automated testing, and efficient orchestration. It requires strong SQL and BigQuery expertise, familiarity with modern data development practices, and a proactive mindset toward optimizing and evolving our data infrastructure.Qualifications• 4+ years of experience in data engineering• Experience in working with DBT / Dataform / similar framework• Experience in working with Airflow / Composer / similar framework• Experience in working with AI systems (e.g. LLM for data analysis / interpretation)• Experience in working with SQL in BigQuery / similar data warehouse platforms• Experience in designing modular, scalable data architectures and model data pipelines using best practices• Experience of adopting test driven development approach and creating automated tests• Strong problem-solving abilities and communication skills• Experience in working with Docker • Experience in MongoDB • Experience of working in Git for collaborative development and version control

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