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# Staff Software Engineer (Python) United States

- **Company:** DUETTO
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Information Engineering, Data Governance, Data Transformation, Distributed Computing Environment, Python (Programming Language), Operational Databases, SQL Databases, Data Streaming, Large Language Models, Data Lakes, Pyspark, AWS Glue, Presto, Amazon Simple Queue Service (SQS), Terraform, Databricks
- **Published:** July 31, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u6hovzmz

## About the Role

* 7+ years building production data systems in Python
 * Deep expertise in PySpark and distributed data processing - Glue, EMR, or Databricks
 * Strong experience with lakehouse architectures: Iceberg, Delta Lake, or Hudi on S3
 * Production experience with Airflow or a comparable workflow orchestrator
 * Solid AWS production experience across S3, Glue, Athena, Lambda, and SQS
 * A track record of improving data quality, governance, and pipeline reliability at scale

Strong Candidates May Also Have

 * Working knowledge of Java for reading upstream systems
 * Experience with Trino or Presto for interactive SQL analytics at scale
 * Experience with dbt for data transformation and modelling
 * Familiarity with Great Expectations or similar data quality frameworks
 * Genuine interest in AI-assisted development and LLM-based tooling
 * Familiarity with hospitality data - reservations, rates, inventory, demand signals, 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.

## Description

* AI-first is not a marketing line here. Every engineer uses Claude Code and a custom multi-agent system daily. You'll contribute to AI-assisted pipeline generation and work alongside 17 specialised agents with human-in-the-loop approval gates - this is what the future of data engineering looks like, and we're already living it.
 * The technical challenge is real. Millions of rate decisions processed daily, 80+ integration partners, and a live evolution from batch to near-real-time streaming - the scale and complexity are genuine.
 * You'll own something meaningful. This is a Staff-level role with true technical authority over the lakehouse that powers every pricing decision, forecast, and report in the product.
 * A team worth joining. Low ego, high EQ, genuine intellectual curiosity, and active mentorship in both directions across a collaborative US and Europe team.
 * Modern stack, real scale. Python/PySpark, Apache Iceberg, Airflow, AWS Glue, SageMaker, Terraform - tools selected for the problem, not the press release.


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