Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI / ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
As a Senior Backend Engineer , you’ll drive the development of scalable, high-performance systems that power data-driven insights and revenue growth. You’ll lead efforts to optimize databases, build efficient back-end solutions, and ensure reliability across data-intensive workflows. This role offers the opportunity to shape technical strategy, collaborate with cross-functional experts, and contribute to innovative solutions at the intersection of data engineering and software development.
WHAT YOU WILL DO
- Lead the design and optimization of databases to improve performance, scalability, and efficiency, with a strong focus on query optimization, indexing strategies, and data architecture best practices;
- Build and maintain efficient, scalable back-end systems to handle high data volumes, prioritizing the optimization of revenue-driving features;
- Design, develop, test, and maintain software applications with an emphasis on performance, reliability, and scalability;
- Write clean, modular code following Object-Oriented Programming (OOP) principles, with proficiency in Python;
- Work closely with cross-functional teams to translate high-level concepts into actionable, effective software solutions;
- Design and implement event-driven processes to improve data flow, responsiveness, and scalability across systems.
MUST HAVES
4+ years of experience with Python ;Hands-on experience building tools using Streamlit for Snowflake ;Strong knowledge of SQL and experience working with Snowflake ;Experience with dbt (data build tool) for data transformation and modeling;Upper-intermediate English level.NICE TO HAVES
Background in data analytics;Exposure to or hands-on experience with AI / ML frameworks or integrations.PERKS AND BENEFITS
Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.Requirements
4+ years of experience with Python; Hands-on experience building tools using Streamlit for Snowflake; Strong knowledge of SQL and experience working with Snowflake; Experience with dbt (data build tool) for data transformation and modeling; Upper-intermediate English level.