Back to SearchSenior Data Software Engineer
Remote in Argentina, & 2 others
Data Software Engineering& 11 others
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Choose an option
We are hiring a Senior Data Software Engineer to deliver resilient data platforms while applying practical AI across data-driven solutions. You will build and evolve streaming pipelines with Python, Apache Kafka Streams, and Apache Flink on Amazon Web Services, partnering closely with teams and stakeholders.
Responsibilities
- Design and build scalable, maintainable data solutions aligned with business and technical goals
- Collaborate with cross-functional teams to deliver on time and meet agreed quality standards
- Contribute to architecture discussions and help steer data-focused project direction
- Review peer code and provide actionable feedback that reinforces strong engineering practices
- Investigate and resolve complex technical issues across development and data processing lifecycles
- Support junior team members by sharing knowledge that strengthens their technical skills
- Participate in planning sessions by shaping scope and providing accurate time estimates
- Stay current with technology trends and apply useful approaches in day-to-day work
- Maintain clear documentation of key technical decisions and data workflows for long-term stability
- Work with stakeholders to define clear objectives and ensure outcomes match expectations
Requirements
- Minimum 3 years of relevant professional experience
- Practical knowledge of AI concepts and tools applied to improve data-driven solution design
- Strong proficiency in Python for developing and maintaining data processing applications
- Hands-on experience with Apache Kafka Streams to run real-time data streaming pipelines
- Working knowledge of Apache Flink for large-scale streaming data processing and analysis
- Practical experience operating in an Amazon Web Services cloud environment
- Ability to use SQL to model, manage, and query relational databases
- Familiarity with NoSQL database technologies for unstructured or semi-structured data
- Understanding of CI/CD practices that support consistent, automated releases for software and data pipelines
- Solid background in Data Software Engineering with a focus on reliable, scalable data-centric systems
- Knowledge of SDLC Methodologies and how to implement them for structured, efficient delivery
- Experience working within Agile frameworks for iterative, collaborative development
- Fluent English communication skills at a B2 (Upper-Intermediate) level or higher