Data Engineer

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/Lead Data Engineer , you will shape the data foundations that drive advanced analytics and empower millions of people to find jobs worldwide. In this role, you’ll influence large-scale data strategy, work with global teams, and contribute to impactful solutions in a collaborative and innovative culture. With challenging projects, growth opportunities, and a strong engineering community, this is a chance to lead and make a real difference in the data engineering space. WHAT YOU WILL DO - Build consolidated data foundations and dashboards to support workforce analytics; - Develop and maintain single sources of truth for business data, ensuring accuracy and consistency; - Implement and optimize data pipelines, dashboards, and analytics platforms; - Enable advanced analytics and data science use cases, including anomaly detection, recommendation systems, and predictive analytics. MUST HAVES - 10+ years of experience in Tableau desktop, cloud, prep; - Strong UX/UI design for dashboards; - 5+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred); - 5+ years of experience in Python ; - 5+ years workflow orchestration and building end-to-end data pipelines (Airflow, GitHub , etc.); - 5+ years of strong data modeling, data warehousing, and ETL/ELT frameworks (foundational design for long-term data usage); - 5+ years experience in data monitoring and troubleshooting preferred; - Upper-Intermediate English level. NICE TO HAVES - Strong PMO background; - Self-starter and strong ability to guide / lead self and/or team on projects; - Ability to strategize and lead complex data analysis, working with business leaders and cross-functional teams to understand and match their strategic and operational needs; - Exceptional ability to distill complex data into clear, concise, and actionable recommendations for both technical and non-technical stakeholders, including senior management (CEO, VP, SVP). 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 5+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred); 5+ years of experience in Python; 5+ years of experience in workflow orchestration and building end-to-end data pipelines (Airflow, GitHub, etc.); 5+ years of experience in strong data modeling, data warehousing, and ETL/ELT frameworks (foundational design for long-term data usage); 5+ years of experience in data monitoring and troubleshooting preferred; Upper-Intermediate English level.