Data Engineer
Core
Design, build, and maintain scalable data infrastructure and ETL/ELT pipelines for a distributed retail mortgage lender.
Role type
Data Engineer
Builds
Data infrastructure, ETL/ELT pipelines, and database systems for mortgage lending operations.
Domain
Financial Services / Mortgage Lending / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Database architecture, performance tuning, ETL/ELT pipeline development, PySpark, AWS Glue, AWS Lambda, AWS Step Functions, C#, SQL query optimization, MongoDB management, backup and recovery procedures, schema design, REST API integration, Git version control.
Preferred skills
Azure or GCP cloud platforms, Windows Server and Active Directory, database automation, MongoDB performance troubleshooting, Snowflake warehousing concepts, High Availability and Disaster Recovery concepts.
Technologies
MongoDB, SQL Server, PostgreSQL, MySQL, Snowflake, PySpark, AWS Glue, AWS Lambda, AWS Step Functions, C#, Git
Responsibilities
Design, maintain, and manage databases; monitor system health and performance; analyze and resolve database performance issues; implement indexes; assist in designing data models and schemas; refine and automate operational processes; work with developers on query tuning and API integration; support backup, restore, and recovery procedures; contribute to ETL/ELT pipelines; enforce database security standards.
Seniority
Mid-level, hands-on IC