Qualifications

• 5-8+ years of experience building and operating production-grade data pipelines and data systems

• Prior experience in mortgage, servicing, or similarly regulated financial domains

• Strong experience with industry-standard tools and platforms for ETL/ELT, orchestration, data warehousing, streaming, and BI

• Experience working with both OLTP and OLAP systems, with a strong understanding of the tradeoffs between transactional and analytical workloads

• Experience building flexible data pipelines that integrate with many different source and destination types, including databases, APIs, files, message queues, SaaS platforms, and event streams

• Experience supporting both batch and real-time data processing patterns

• Experience deploying and operating data infrastructure on major cloud platforms such as AWS, GCP, or Azure

• Strong SQL skills and experience with data modeling, transformation frameworks, and performance optimization

• Experience building AI-powered capabilities on top of LLMs, including orchestration, evaluation, and data integration patterns

• Experience with modern programming languages commonly used in data engineering, such as Python, Java, Scala, or Go

• Comfort working with CI/CD, infrastructure-as-code, observability, and production operations for data systems

• Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, and flexibility

• Clear communication skills with both technical and non-technical teammates

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