Data Engineer
Range(1 month ago)
About this role
As a Data Engineer at Range, you will design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and product initiatives within a fast-paced fintech environment. This role requires close collaboration with data scientists, product teams, and engineering to ensure data accuracy and availability for strategic business decisions. Key responsibilities include optimizing data architecture and storage performance, integrating diverse data sources, and implementing data quality checks to enhance overall data reliability. Proficiency in Python, SQL, and experience with cloud data platforms is essential for success in this role.
Required Skills
- Data Engineering
- Data Pipelines
- ETL Workflows
- Data Integration
- Data Architecture
- Cloud Platforms
- SQL
- Python
- Data Quality
- Problem Solving
+6 more
Qualifications
- BS or BA in Computer Science, Engineering, Statistics, Economics, Mathematics, or another quantitative discipline from a top-tier university
About Range
www.range.comRange is an innovative wealth management platform designed to provide comprehensive financial services for high-income earners, including investment strategy, tax optimization, retirement planning, real estate management, and cash flow analysis. Their team of Certified Financial Planners works closely with members to deliver personalized financial advice through a user-friendly interface, ensuring members can access their financial data and insights anytime. Emphasizing transparency, Range operates on a flat-fee pricing model with no hidden costs, allowing clients to make informed financial decisions without the burden of traditional asset management fees. With a focus on leveraging technology, Range aims to simplify and enhance financial management for professionals seeking to optimize their wealth strategies.
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