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.
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.
What You'll DoDesign, 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.
Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees.
100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
Receive up to $100 per month in fitness reimbursement or enjoy 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
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks.
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.
Skills Required
- 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
- Strong proficiency in Python or a similar programming language for data processing, automation, and production engineering
- Strong experience with Snowflake or a comparable modern cloud data warehouse
- Strong experience with AWS or comparable cloud infrastructure
- Deep experience with ETL/ELT, orchestration, schema design, and data modeling using dbt, Airflow, or similar technologies
- Strong understanding of batch and real-time data architectures, including streaming and change data capture technologies
- 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
- Ability to independently solve complex and ambiguous technical problems, exercise sound judgment, and communicate tradeoffs to senior technical and business stakeholders
Credit Genie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Credit Genie and has not been reviewed or approved by Credit Genie.
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Fair & Transparent Compensation — Pay is considered market-competitive for key roles, with employer-provided ranges visible on postings. Feedback suggests total compensation is viewed favorably relative to similar startups.
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Affordable Benefits — Employer-paid medical, dental, and vision—often including dependent coverage—reduce out-of-pocket costs. Feedback suggests coverage is positioned as a strong cost-value component of the package.
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Retirement Support — A 401(k) with company match and immediate vesting is consistently described in postings. This structure strengthens long-term savings as part of total rewards.
Credit Genie Insights
What We Do
Credit Genie takes a non-traditional approach to debt relief - we perform a holistic review of a consumer's financial situation to calculate the appropriate debt reduction. Lenders have more confidence in Credit Genie's evidence-based, data driven, debt relief solution which along with helping the borrower directly, also reduces the risk of a borrower's complete default, and vastly improves overall default rates in the debt industry. Led by founder Ed Harycki (former founder of Swift Capital / acquired by PayPal), Credit Genie is on a mission to help customers succeed by bringing ingenuity, fairness, and humanity to helping them resolve their personal debt matters. The US consumer debt market is over $1.5 trillion and growing, with tens of millions of households struggling to meet their financial obligations. The current market to resolve this problem is fragmented, lacks transparency, and is very costly to consumers and their lenders. Credit Genie is on a mission to fix this problem. We are building the first technology-based solution that allows borrowers to work directly with their lenders to find solutions that are fair to all parties. Through innovative debt relief solutions and its free cash advance app, Credit Genie is helping consumers tackle their unsecured debt burdens. Credit Genie is also developing educational programs to help ensure that consumers can better manage their financial affairs and achieve a healthier financial standing.
