Senior Data Engineer: Build AI-Ready Data Platforms

RiseMe; Minnesota; Hybrid; USD 120,000 - 180,000; Full time

Job summary

RiseMe is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines and data products that power analytics, reporting, and AI initiatives. You will contribute to automation, data quality, metadata management, and governance while expanding your skills in governance and AI-enabled automation.

The role supports Azure/Microsoft Fabric currently, with experience on AWS or Databricks considered.

Responsibilities

• Design, build, and operate batch and streaming data pipelines on modern cloud data platforms.
• Develop robust ETL/ELT processes using SQL, Python, and PySpark with strong error handling, monitoring, and cost awareness.
• Implement layered / medallion data architectures and analytics-ready data models to support BI and AI workloads.
• Partner with analysts and data scientists to deliver trusted, production-grade data assets.
• Partner with platform and business stakeholders to support and enhance data governance practices using Microsoft Purview or comparable governance platforms.
• Contribute to governance standards and best practices for data products, analytics solutions, AI/ML features, and agent-based workflows as organizational capabilities evolve.
• Help incorporate governance considerations into platform workflows and data engineering practices rather than treating governance as an after-the-fact process.
• Support ongoing data and AI governance initiatives and grow into greater ownership of governance patterns as experience and organizational standards evolve.
• Contribute to the design and implementation of AI-enabled tools and automation workflows that support data platform and governance operations.
• Partner with technical teams to explore and develop automation that assists with metadata enrichment, data quality checks, anomaly detection, and governance workflows.
• Help ensure AI-enabled tools and automation operate only on approved, governed data sources with appropriate logging and auditability.
• Build knowledge of evolving AI governance patterns, including agent lifecycle management and input/output traceability, with support from the broader team.
• Implement and maintain CI/CD pipelines for data and AI assets.
• Promote platform enablement.

Job description

RiseMe is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines and data products that power analytics, reporting, and AI initiatives. You will contribute to automation, data quality, metadata management, and governance while expanding your skills in governance and AI-enabled automation.

The role supports Azure/Microsoft Fabric currently, with experience on AWS or Databricks considered.