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A technology solutions provider in Porto Alegre is seeking an experienced data engineer to build data foundations and dashboards that drive business insights. The role demands strong expertise in Python, SQL, and Tableau, with an emphasis on collaboration and mentorship. Ideal candidates should possess extensive experience in workflow orchestration, advanced analytics, and UX/UI design. Flexible working arrangements and competitive compensation are part of the offer, catering to a motivated professional.
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.
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!
This role allows you to shape data foundations and analytics that drive key business insights. You’ll design dashboards, enable advanced analytics, and apply SQL, Python, and cloud expertise in a collaborative, growth-focused environment. With a flexible, innovative culture and mentorship opportunities, you’ll make a real impact while advancing your technical and leadership skills.
5+ 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.