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Credit Genie’s mission is to help users take control of their finances, by offering cash advances between paydays, and by providing financial insights into spending habits. Having empowered over 600,000 customers to budget wisely, evade overdraft fees, and minimize credit card payments, we're on an ambitious journey. Our vision is rooted in a world where financial access is universal, and personal financial goals are within reach.
This position can be based out of the Philadelphia area (our HQ is in Plymouth Meeting, PA), or the NYC area. We follow a hybrid work model of 3 days/ week in office.
Overview
As a Data Engineer, you will develop robust data solutions that support our business needs. Your primary responsibility is to build and manage a scalable data pipeline that supports the organization’s long-term vision. You’ll design efficient data storage structures, data models, standards, and optimize data retrieval for reporting, analytics, and data science purposes.
Our product (Mobile App) is currently built using React Native, Typescript, Micro Services, GQL and hosted on AWS. We use AWS Services such as Amplify, Lambda, DynamoDB, Kinesis, and Cognito. We use Snowflake as our primary data warehouse.
What You'll Do
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.
Credit Genie’s mission is to help users take control of their finances, by offering cash advances between paydays, and by providing financial insights into spending habits. Having empowered over 600,000 customers to budget wisely, evade overdraft fees, and minimize credit card payments, we're on an ambitious journey. Our vision is rooted in a world where financial access is universal, and personal financial goals are within reach.
This position can be based out of the Philadelphia area (our HQ is in Plymouth Meeting, PA), or the NYC area. We follow a hybrid work model of 3 days/ week in office.
Overview
As a Data Engineer, you will develop robust data solutions that support our business needs. Your primary responsibility is to build and manage a scalable data pipeline that supports the organization’s long-term vision. You’ll design efficient data storage structures, data models, standards, and optimize data retrieval for reporting, analytics, and data science purposes.
Our product (Mobile App) is currently built using React Native, Typescript, Micro Services, GQL and hosted on AWS. We use AWS Services such as Amplify, Lambda, DynamoDB, Kinesis, and Cognito. We use Snowflake as our primary data warehouse.
What You'll Do
- Develop and maintain a scalable data pipeline to extract, load and transform data from multiple sources.
- Collaborate with data scientists and analysts to ensure data models support analytics and reporting needs.
- Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions.
- Enforce data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs.
- Write complex Python and SQL queries to manage data efficiently.
- Conduct performance optimization of AWS feature sets and Snowflake databases.
- Bachelor's or Master's degree in Computer Science or equivalent, with 3 - 5 years of Data Engineering experience.
- Critical thinking and problem solving skills, you think through to the end result.
- Skilled in Python or other scripting language for automation and data processing.
- Strong experience with schema design, ETL/ELT and performance tuning within a Cloud Data Service environment .
- Proficient in addressing data-related challenges through analytical problem-solving and aligning data with organizational business goals and objectives.
- Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced environment.
- Entrepreneurial spirit. You are self-directed and innovative, you build trust and are biased towards action in fast-paced environments.
- You love to build new things and thrive in ambiguity and even failure. You care about innovation.
- Certification in Snowflake or AWS is a plus.
- Proven expertise in managing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores.
- Knowledge of data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR).
- Exposure to analytical techniques using ML and/or AI to assist data scientists and analysts in deriving insights from data.
- Premium Medical, Dental, and Vision Insurance plans
- 100% coverage of insurance premiums for you and your dependents
- Company-provided Basic Life and Short-Term and Long-Term Disability plans
- 401K program with company match
- Unlimited PTO and generous company holidays
- Company laptop and home-office stipend
- Stock options
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.
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