Data Product Engineer

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Skills you'll use

What you'll do

• The Data Product Engineer is responsible for designing, developing, and operating scalable, reusable, and trusted data products that power business intelligence, advanced analytics, AI/ML solutions, and operational decision-making. This role combines modern data engineering practices with product thinking to build high-quality data assets that are discoverable, governed, and reusable across the enterprise. The engineer partners with business stakeholders, product managers, architects, data scientists, and platform teams to deliver data products that align with strategic business outcomes.
• Roles & Responsibilities
• Design, develop, deploy, and maintain enterprise data products and reusable data assets.
• Build scalable batch, streaming, and event-driven data pipelines.
• Create domain-oriented data products that support analytics, reporting, operational processes, and AI initiatives.
• Develop semantic models and curated datasets to enable self-service analytics capabilities.
• Design and optimize ETL/ELT pipelines for structured, semi-structured, and unstructured data.
• Integrate data from enterprise platforms, APIs, and cloud-based systems.
• Implement scalable ingestion, transformation, and orchestration frameworks.
• Build resilient solutions that support enterprise-scale data processing and consumption. Implement data quality validation, observability, monitoring, and remediation processes.

Who can apply

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related field.
• 5+ years of experience in Data Engineering, Analytics Engineering, Data Product Development, or related disciplines.
• Strong SQL expertise and proficiency in Python, Scala, Java, or similar development languages.

About U.S. Bancorp

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