Data Engineer - U.S.

Luma Financial Technologies•Cincinnati, OH

7d•Hybrid

About The Position

We are looking for an experienced Data Engineer to lead our data infrastructure development, focusing on building robust, scalable, and efficient data solutions. The ideal candidate will bring expertise in modern data engineering technologies and a proven track record of delivering high-performance data pipelines. Please note: This is a hybrid position required to work from Luma Financial Technologies New York, NY or Cincinnati, OH office 2-3 days/week Sponsorship for U.S. work authorization is not available for this opportunity

Requirements

3-5 years of professional experience in data engineering
Bachelor's degree in Computer Science, Data Science, or related field
Excellent written and verbal communication skills
Proven ability to collaborate effectively across geographical boundaries
Proven technical expertise in: o Python o Advanced SQL o dbt o Snowflake o Data pipeline architecture

Responsibilities

Data Pipeline Development
Design, develop, and maintain advanced data pipelines in Snowflake using dbt
Design, develop and maintain data pipelines using Python
Implement and optimize complex ETL/ELT processes
Ensure comprehensive data quality and consistency across multiple systems
Performance and Optimization
Create and optimize sophisticated SQL queries for advanced reporting and analysis
Develop efficient database queries with a focus on performance optimization
Troubleshoot complex data transformation challenges
Monitoring and Reliability
Implement and manage production data pipeline monitoring
Develop proactive health checks and monitoring protocols
Diagnose and rapidly resolve data integration issues
Cross-Functional Collaboration
Interface effectively with product, engineering, and business intelligence teams
Translate complex technical requirements into comprehensive data solutions
Provide technical leadership and guidance on data engineering challenges