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About the Role
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.
Responsibilities
- 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.
Requirements
- 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.
Skills
- SQL
- Python
- Snowflake
- AWS
- ETL/ELT
- dbt
- Airflow
- Git
- CI/CD
- Automated testing
Location
- Onsite
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Benefits
- 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
- Up to $100 per month in fitness reimbursement or a complimentary full membership to LifeTime Fitness or Equinox.
- 401(k) with a 3.5% match and immediate vesting.
- Meal program available for both lunch and dinner.
- Pre-tax benefits, including a $1,000 HSA match.
- Life and accidental insurance.
- Flexible PTO.
About the 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 PayPal in 2017).
- Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.
Equal Opportunity
- Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences.
- We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work.
- If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.