Senior Software Engineer ID87210

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 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 global 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