Senior Data Analytics Engineer

SoFi Tech Solutions•Seattle, WA

1d•$239,774 - $263,751•Remote

About The Position

SoFi Tech Solutions (formerly Galileo Financial Technologies) is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. SoFi Tech Solutions leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://tech.sofi.com/careers/. SoFi Technology Solutions, LLC (fka Galileo Financial Technologies, LLC) seeks Senior Data Analytics Engineer in Seattle, WA: Contribute to the design, orchestration and development of ongoing data science projects from data ingestion to presentation. Work with platform engineers and others to develop tools/frameworks needed to carry out projects. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Research new data engineering and analytics methodologies with minimal guidance and support from other team members. Synthesize insights from raw data. Build dashboards and other visualizations; communicate findings internally and externally. Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed. Full-time telecommuting is an option.

Requirements

Master’s degree in Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field.
Data warehouse design
Data modeling
Extract, Transform, Load (ETL)
SQL
Scripting language (python or powershell)
Cloud platform (Azure or AWS)
Data Visualization (Tableau or Power BI)
Business Intelligence and reporting application development and support
Data quality and reconciliation
Analytics Data Architecture
Any suitable combination of education, training and/or experience is acceptable.

Responsibilities

Contribute to the design, orchestration and development of ongoing data science projects from data ingestion to presentation.
Work with platform engineers and others to develop tools/frameworks needed to carry out projects.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Research new data engineering and analytics methodologies with minimal guidance and support from other team members.
Synthesize insights from raw data.
Build dashboards and other visualizations; communicate findings internally and externally.
Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed.