Senior Data Engineer

Responsibilities

• Improve, manage, and advise on standards for code maintainability and performance across the data codebase •
• Implement and review code for data pipeline design, considering downstream utility and performance (for example Tableau, ML models, and internal stakeholders) •
• Create architecture recommendations and implement them hands on •
• Build alignment across teams by communicating clearly and helping people reach consensus •
• Support hiring by performing technical interviews and contributing to a thoughtful, fair selection process

Requirements

• IQM provides both on-premises full-stack quantum computers and a cloud platform to access its computers anywhere in the world.
• experience with Python for data processing preferred; professional
• experience in Java/Scala/other is welcome. •
• Solid knowledge of data related Python packages and common patterns for reliable data processing •
• Deep understanding of SQL and analytical data warehouses, ideally Postgres • Hands on
• experience implementing ETL or ELT best practices at scale, including monitoring, testing, and incident handling •
• Experience with data pipeline orchestration tools, ideally Dagster •
• Confident using Git and modern collaboration practices such as code reviews and pull requests •
• Ability to ship medium to large features independently, from design to rollout •
• Familiarity with lineage, cataloging, or governance style workflows and ways of working •
• Experience with dlt or similar data ingestion and loading frameworks •
• Experience developing RESTful APIs and working with service to service integrations •
• Familiarity with data lake architectures and patterns

Experience

• 5 plus years of hands on

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