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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and maintain scalable ETL/ELT pipelines and data warehouses powering AI-integrated mortgage lending systems.
Leverage AI-assisted development tools to accelerate data pipeline creation, debugging, and automation across real-time workflows.
Ensure data quality, security compliance, and performance optimization while collaborating with cross-functional teams for analytics enablement.
Minimum Requirements
5+ years experience in data engineering or similar backend data-focused roles.
Strong skills in SQL, Python, and ETL/ELT frameworks like dbt; proficiency with cloud platforms (AWS preferred) and data warehouse technologies (Snowflake preferred).
Proven experience integrating APIs and third-party data sources; demonstrated use of AI-powered development tools regularly in production-grade data pipelines.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building high-scale, production-grade data pipelines in AI-native environments focused on mortgage or financial data.
Comfortable leveraging AI tools extensively for code generation, debugging, and documentation within data engineering workflows.
Experienced collaborating closely with product managers, data scientists, and engineers in fast-paced, startup-like environments.