Senior Data Engineer: Build AI-Ready Data Pipelines

Real; Minneapolis (MN); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Real in Twin Cities, MN is seeking a Senior Data Engineer to design, build, and scale enterprise data pipelines supporting AI-driven analytics. You will ensure data reliability and governance while enabling AI/ML initiatives across the organization.

You will collaborate with architects, product teams, and business stakeholders to optimize data structures and accessibility in a cloud-first data platform. This role emphasizes automated, scalable engineering practices and continuous improvement.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline.
• 7+ years of experience designing, building, and supporting production-grade data solutions.
• Strong expertise in data integration, transformation, and large-scale pipeline development.
• Experience with cloud-based data platforms and modern data engineering ecosystems.
• Advanced SQL skills and experience working with large datasets in operational and analytic environments.
• Strong understanding of data governance, metadata management, lineage, and quality controls.
• Experience operating within enterprise environments that require security, compliance, and governance standards.
• Excellent problem-solving, collaboration, and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines that collect, transform, and deliver data from multiple enterprise systems.
• Build data ingestion and processing solutions that support AI, machine learning, and advanced analytics initiatives.
• Ensure data reliability, accuracy, governance, and accessibility across critical business datasets.
• Establish and maintain data quality standards, validation processes, and monitoring frameworks.
• Partner with architects, application teams, and business stakeholders to optimize how data is structured and consumed.
• Support retrieval, search, and knowledge-management capabilities for AI-enabled applications.
• Collaborate on cloud-based data platform architecture and integration strategies.
• Improve operational efficiency through automation, standardization, and scalable engineering practices.
• Support testing, performance optimization, and ongoing enhancement of data solutions.
• Contribute to technical best practices and foster a culture of innovation, accountability, and continuous improvement.

Skills

Data integration

SQL

Cloud platforms

Data governance

Communication

Collaboration

Education

Bachelor's or Master's in CS/related field

Tools

AWS

Snowflake

Databricks

Job description

Real in Twin Cities, MN is seeking a Senior Data Engineer to design, build, and scale enterprise data pipelines supporting AI-driven analytics. You will ensure data reliability and governance while enabling AI/ML initiatives across the organization.

You will collaborate with architects, product teams, and business stakeholders to optimize data structures and accessibility in a cloud-first data platform. This role emphasizes automated, scalable engineering practices and continuous improvement.