Agile Engine 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 USIf 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 ROLEWe are looking for a Senior Data Engineer to architect, build, and scale a modern data platform — designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust Data Ops practices.

You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third-party REST APIs and event-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories.

The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and accessibility.WHAT YOU WILL DODesign, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources;Design production-ready normalized and denormalized schemas in Snowflake to optimize query performance and support enterprise analytics;Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms;Maintain and expand workflow orchestration pipelines using Airflow, Prefect, or Dagster;Implement automated data testing, validation, lineage tracking,



and proactive alerting frameworks to ensure data accuracy and system uptime;Drive CI/CD best practices, maintain codebases using Git and Docker, and adopt Infrastructure-as-Code patterns;Apply modern software engineering standards, including design patterns, automated unit and integration testing, and clear documentation.MUST HAVES4+ years of experience as a Data Engineer;Strong proficiency in Python, including modular, maintainable, and well-tested code;Advanced knowledge of SQL, query optimization, database design principles, and normalization/denormalization patterns;Hands-on experience with Snowflake;Production experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster;Experience working with REST APIs, event-driven architectures, and batch and streaming pipelines;Experience implementing automated data quality checks, data lineage, and alerting mechanisms;Strong experience with Git, Docker, CI/CD automation, and Infrastructure-as-Code fundamentals;Upper-intermediate English level.NICE TO HAVESExperience with dbt for data transformations;Familiarity with major cloud platforms such as AWS, GCP, or Azure;Experience with message streaming technologies such as Apache Kafka or AWS Kinesis.PERKS AND BENEFITSProfessional growth: Mentorship, Tech Talks, and personalized growth roadmaps. Competitive compensation: USD-based pay with education, fitness, and team activity budgets. Exciting projects: Modern solutions with Fortune 500 and top product companies. Flextime: Adaptable schedule with remote and office options.

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📌 Senior Data Engineer (Rosario)
🏢 AgileEngine
📍 Rosario