Back to SearchSenior Data Software Engineer
Remote in Argentina, & 2 others
Data Software Engineering& 11 others
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We are expanding with a Senior Data Software Engineer who can build scalable data platforms and apply AI tools to strengthen data-driven solution choices. In this role, you will develop Python data processing services and real-time streaming with Apache Kafka Streams and Apache Flink on Amazon Web Services, while supporting Agile and CI/CD delivery.
Responsibilities
- Design and build maintainable data solutions that satisfy business and technical objectives
- Collaborate with cross-functional teams to ensure timely delivery and high-quality outcomes
- Provide input in architecture discussions to guide data-focused project direction
- Review teammates’ code and offer constructive feedback to reinforce good engineering practice
- Diagnose and resolve complex technical problems across the development and data processing lifecycle
- Support junior engineers’ growth by sharing knowledge and strengthening their technical abilities
- Join planning conversations to help define scope and deliver accurate time estimates
- Stay up to date on technology trends and apply valuable approaches in daily work
- Maintain clear documentation of technical decisions and data workflows to preserve stability
- Work closely with stakeholders to align on objectives and ensure results match expectations
Requirements
- A minimum of 3 years of relevant professional experience
- Practical knowledge of AI concepts and tools leveraged to improve data-driven solution design
- Strong proficiency in Python for building and maintaining data processing applications
- Experience with Apache Kafka Streams for managing real-time data streaming pipelines
- Hands-on knowledge of Apache Flink for processing and analyzing large-scale streaming data
- Practical experience within an Amazon Web Services cloud environment
- Capability to use SQL to organize, manage, and retrieve data from relational databases
- Familiarity with NoSQL database technologies for unstructured or semi-structured data handling
- Understanding of CI/CD practices for consistent, automated software and data pipeline releases
- Solid background in Data Software Engineering building reliable and scalable data-centric systems
- Knowledge of SDLC Methodologies and their implementation to support efficient execution
- Experience working in Agile frameworks to enable iterative, collaborative development
- Fluent English communication skills at a B2 (Upper-Intermediate) level or higher