Prizeout is a leading New York city based fintech company where innovation meets financial empowerment. We provide rewards and loyalty solutions to partners that revolutionize the way their customers engage and maximize their financial potential.
We're seeking passionate individuals to drive our mission forward and transform the landscape of advertising and financial technology. We have built a team that values humility and innovation and we believe that embracing challenges makes us better. We hire people we trust, who will live these values and who are able to find a way to navigate through obstacles, embody an entrepreneurial spirit, and maintain a spirit of optimism.
If that’s you, please read on and apply today!
ABOUT THIS ROLE:
As a Data Engineer at Prizeout, you're not just building pipelines and crunching numbers; you're at the forefront of a movement to transform how customers engage with their financial institution. Imagine diving into challenges every day, surrounded by a team that values creativity, teamwork, and a little ambiguity. Your expertise isn't just shaping algorithms; it's shaping the future of how we connect people with the rewards they deserve. If you're ready to roll up your sleeves, bring your best ideas to the table, and be part of something truly revolutionary, this might just be the perfect opportunity for you!
WHAT YOU’LL DO:
- Develop deep data expertise and own data quality while conforming a variety of 3rd party data sources into clean and validated solutions, ensuring seamless integration and reliability
- Build and support complex data pipelines for our financial institution rewards products including loading, validation and classifications of core and card data
- Support our credit union partners, other partners, and our internal teams through simple and automated financial reconciliation processes across all data sources and integration touch points
- Apply a business-minded approach to data engineering tasks with an understanding of the impact on business operations and objectives
- Design and develop data pipelines and processes that optimize performance, scalability, and reliability from both internal and external data sources
- Proactively monitor data infrastructure and systems, identifying and addressing potential issues to ensure uninterrupted data flow
- Continuously evaluate and improve data engineering practices, staying updated on emerging technologies and best practices in the field
- This role will report to the Director of Data Platforms
WHAT WE’RE LOOKING FOR:
- 3+ years of development experience, ideally in a microservice architecture using languages such Python on the backend
- Experience working with distributed systems in a cloud computing environment
- Strong SQL skills and database expertiseSnowflake experience a plus
- Ability to thrive in a dynamic, fast-paced, collaborative, and high-growth environment with the ability to adjust to changing priorities and make tradeoffs when guidance is limited and information incomplete
- Proficient in identifying and implementing scalable engineering processes, drawing from past experiences to anticipate and navigate the path forward
- Team player first and foremost with strong communication skills and a get-it-done approach
- Excellent communication skills, adept at conveying complex ideas clearly and seeking assistance when needed
- Demonstrates a hustle mentality, driven to achieve goals efficiently and effectively
- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
- The expected salary range for this position is $135,000-$170,000