Senior Data Engineer ID71670

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 We 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 DataOps 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 DO - Design, 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 HAVES - 4+ 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 HAVES - Experience 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 BENEFITS - Professional growth : Mentorship, TechTalks, 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 : Flexible schedule with remote and office options.