Staff Software Engineer

About the role

Join Duetto, a leading revenue management software for the hospitality industry. As a Staff Software Engineer, you will be the technical authority on Duetto's data lakehouse, driving pipeline architecture, data quality, and the shift from batch to near-real-time streaming. You will own the design, performance, and reliability of the data lakehouse, and strengthen observability and reliability through various tools. This role offers work-from-home opportunities, health insurance, and the chance to work in an AI-first engineering culture. Key missions: Conduire l'architecture des pipelines de données et la qualité des données pour le lac de données de Duetto.. Posséder la conception, la performance et la fiabilité du lac de données de Duetto, en évoluant le cadre de pipeline Python/PySpark.. Architecturer le passage du traitement par lots au streaming quasi temps réel, en construisant des pipelines de streaming. Profile: - Working knowledge of Java for reading upstream systems - Familiarity with Great Expectations or similar data quality frameworks - Deep expertise in PySpark and distributed data processing — Glue, EMR, or Databricks - Experience with dbt for data transformation and modelling - A track record of improving data quality, governance, and pipeline reliability at scale - Strong experience with lakehouse architectures: Iceberg, Delta Lake, or Hudi on S3 - Genuine interest in AI-assisted development and LLM-based tooling - You don't need to tick every box — if you're a strong Python data engineer who's excited by lakehouse architecture, streaming pipelines, and working in a genuinely AI-first engineering culture, we'd love to hear from you - 7+ years building production data systems in Python - Experience with Trino or Presto for interactive SQL analytics at scale - Production experience with Airflow or a comparable workflow orchestrator - Solid AWS production experience across S3, Glue, Athena, Lambda, and SQS - Familiarity with hospitality data — reservations, rates, inventory, demand signals