Software Engineer With Data And AI Engineering (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer With Data And AI Engineering (Fintech): Migrating production data pipelines to a cloud-native platform with an accent on domain-oriented data products and AI-driven data quality. Focus on developing RAG pipelines, optimizing Snowflake models, and integrating LLMs into data-driven applications.
Location: Remote in LATAM (Argentina, Brazil, Colombia, Mexico, Uruguay) or other countries if able to work US East Coast hours.
Company
is a global technology company providing software engineering services for a leading corporate and investment bank.
What you will do
- Design and develop scalable ETL and ELT data pipelines.
- Build and maintain data orchestration workflows using Apache Airflow.
- Integrate LLMs into data-driven applications and develop RAG pipelines using embeddings and vector search.
- Optimize Snowflake data models for performance and cost efficiency.
- Contribute to cloud-native application design and deployment.
- Collaborate with product, data, and platform teams.
Requirements
- Professional experience: 4+ years (Mid-level) or 10+ years (Senior) in software or data engineering.
- Strong experience building production-grade data pipelines.
- Hands-on experience with Apache Airflow and Snowflake (including modeling and tuning).
- Advanced SQL skills and strong Python development experience.
- Experience working in cloud environments (Azure, AWS, or GCP).
- Ability to work US East Coast hours.
Nice to have
- Experience with LLMs, RAG patterns, and vector databases.
- Experience using Streamlit or similar tools for GenAI interfaces.
- Exposure to MCP server development or integration.
Culture & Benefits
- Vacation and sick pay provided according to the laws of your country.
- Health insurance support for you and your loved ones.
- Time off for state holidays regardless of the client's schedule.
- Financial support for IT certifications and access to top-tier learning platforms.
- Collaborative environment with corporate parties and team get-togethers.
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