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Wilshire Lane Capital is seeking a senior data engineer to design and optimize data infrastructure and pipelines in a fast-paced environment.
You will collaborate with cross-functional leadership to align data architecture with business objectives and mentor the data engineering team on best practices.
The role emphasizes scalable data modeling, robust ETL/ELT processes, and reliable data warehousing with tools like dbt, Redshift, and Athena.
Build and optimize the data infrastructure and pipelines that transform raw events into actionable intelligence. Collaborate with cross-functional leadership to align data architecture with business objectives and mentor the data team on engineering best practices.
Requires 5+ years of software engineering experience with at least 3 years focused on data or analytics engineering. Must possess expert-level SQL skills and a degree in a quantitative or technical field.
SQL, Data Engineering, ETL/ELT, Data Warehousing, dbt, Dagster, Redshift, Athena, Superset, CI/CD, Data Modeling, Python, Quantitative Analysis, Business Intelligence, Version Control, API Integration