AgileEngine is an Inc. **** 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 Software Engineer to design scalable data processing systems using Spark and EMR.
This person builds batch and distributed pipelines, working closely with AI and product teams to operationalize model-enabled use cases and prepare data for intelligent workflows.
Strong architecture sense and comfort in data-intensive environments matter here.WHAT YOU WILL DO- Design and develop scalable data processing solutions using Spark and EMR.
- Build and maintain batch and distributed data pipelines.
- Collaborate with engineering, AI, and product teams to operationalize data-driven and model-enabled use cases.
- Develop software components for data transformation, feature preparation, and AI workflow integration.
- Optimize pipeline performance, cost efficiency, and production reliability.
- Troubleshoot data and application issues across development and production environments.
- Contribute to architecture discussions, documentation, and engineering standards.
- Ensure solutions align with data quality, governance, and security expectations.MUST HAVES- 4+ years of software engineering or data engineering experience.
- Strong experience with Spark and distributed data processing.




- Experience with Amazon EMR or similar cloud-based data processing platforms.
- Proficiency in Java, Python, or related programming languages.
- Exposure to AI or machine learning workflows, model integration, or data preparation for intelligent systems.
- Strong understanding of scalable data architecture and performance optimization.
- Strong debugging and collaboration skills.
- Comfortable delivering in evolving, data-intensive environments.
- Able to bridge software engineering and data engineering responsibilities.
- Strong execution focus with practical architecture sense.
- Upper-intermediate English level.NICE TO HAVES- Experience with Kafka, Airflow, data lakes, or warehouse ecosystems.
- Familiarity with MLOps, feature stores, or AI platform integration.
- Experience with AWS-native services and observability tooling.PERKS AND BENEFITS- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm- Meaningful, modern projects: build impactful products using modern technologies alongside integral teams and leading brands- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized- Well-being & support: access local well-being programs and people-focused support tailored to your location

📌 Senior Software Engineer Id87210 (Victoria)
🏢 AgileEngine
📍 Victoria