Senior Data Engineer

Company

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.

Founded in 2019 by Ed Harycki , former Swift Capital Founder ( acquired by Pay Pal in 2017 ). Backed by Khosla Ventures and led by industry pioneers from companies such as;
Pay Pal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.

Join our Data Platform & Analytics team and help shape the trusted data foundation that powers analytics, strategy, and downstream applications. As a Senior Data Engineer, you will independently own the design and operation of scalable data pipelines and platform capabilities across our Snowflake and AWS environment. You will solve complex, cross-functional data problems, exercise strong technical judgment, and partner across the organization to make data reliable, accessible, and ready for a growing set of business and technical use cases.

• Design, development, and operate reliable data pipelines for first-party and third-party data across batch, streaming, and change data capture (CDC) patterns.
• Lead the technical design of ETL/ELT and orchestration workflows, selecting appropriate patterns and tradeoffs for performance, scalability, maintainability, and cost.
• Develop high-quality SQL and Python solutions for transformation, validation, automation, and complex data processing, while setting a strong standard for maintainable engineering practices.
• Design and strengthen data quality, freshness monitoring, alerting, and observability so issues are detected and resolved before they materially impact downstream users.
• Optimize Snowflake workloads, storage, and pipeline architecture with attention to reliability, scalability, platform performance, and cost efficiency.
• Lead investigation of complex production data incidents, identify root causes across systems, and implement durable fixes that improve platform resilience and reduce recurrence.
• Partner with Analytics Engineering, Data Science, Product, Engineering, and other technical stakeholders to evaluate source systems, define dependable data contracts, and deliver data products that support analytics and downstream applications.
• Drive and evolve engineering standards and reusable patterns across automated testing, version control, CI/CD, documentation, schema design, and pipeline development; provide technical guidance and code review to other engineers when appropriate.

• 5+ years of Data Engineering or closely related experience designing, building, and operating production data systems; bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Advanced SQL skills and strong proficiency in Python or a similar programming language for data processing, automation, and production engineering.
• Strong experience with a modern cloud data warehouse such as Snowflake and cloud infrastructure such as AWS, including performance, reliability, and cost considerations.
• Deep experience with ETL/ELT, orchestration, schema design, and data modeling using tools such as dbt, Airflow, or similar technologies.
• Strong understanding of batch and real-time data architectures, including streaming and change data capture (CDC) technologies and their operational tradeoffs.
• Demonstrated experience designing data quality controls, testing frameworks, monitoring, observability, and production support practices for critical data pipelines.
• Strong working knowledge of Git-based development, CI/CD, automated testing, and modern software engineering practices for data systems.
• Demonstrated ability to independently solve complex and ambiguous technical problems, exercise sound judgment, and communicate tradeoffs and recommendations to senior technical and business stakeholders.

• Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness.
• We believe working alongside each other in person is the best way to build a great product and foster a strong company culture.
• Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity.
• At the same time, we understand that life happens and recognize the importance of flexibility.
• We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules.
• Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment.