Hi there! 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: 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.
Meet Our Recruitment Process Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback: ● Short online form to confirm basic requirements ● 30–60 minute skills assessment ● 5-minute introduction video Synchronous stage — Live interviews ● Technical interview with our engineering team (scheduled at your convenience) ● Final interview with your future teammates If it’s a match—you’ll get an offer!
