Upgrade is a fintech unicorn founded in 2017. In the last four years, over 15 million people have applied for an Upgrade card or loan, and we have delivered over $7 billion in affordable and responsible credit. Our innovative Upgrade Card combines the flexibility of a credit card with the low cost of an installment loan. Our latest offering, Rewards Checking, gives customers access to no-fee checking accounts with 2% cash back rewards on common everyday spending. Learn more about the team.

 

Upgrade has been named a “Best Place to Work in the Bay Area” by the San Francisco Business Times and Silicon Valley Business Journal 3 years in a row, and received “Best Company for Women” and “Best Company for Diversity” awards from Comparably. Upgrade has been included in the 2021 Inc. 5000 list of the fastest-growing private companies in America.

 

We are looking for new team members who get excited about designing and implementing new and better products to join a team of 750 talented and passionate professionals. Come join us if you like to tackle big problems and make a meaningful difference in people's lives.

This is a remote position based in the United States. At this time we are unable to consider international applicants for this role.

What You'll Do:

• Design, architect, and maintain distributed fault tolerant data infrastructure that supports the needs of data pipeline, data warehouse and business intelligence engineers
• Quickly gain a deep understanding of the business and how data flows through the organization and through the data engineering codebase while playing a key role in building an efficient and scalable data and reporting layer for the organization.  
• Build and scale tools needed by data engineers to build awesome data pipelines to enrich our Enterprise Data warehouse.
• Set up tools and processes for effective data loading, data loading, lineage tracking and monitoring and drive quality across data in the data warehouse.
• Continuously improve our data infrastructure and stay ahead of technology.

What We Look For:

• Solid understanding of core computer science including algorithms & data structures, operating systems, distributed systems, networking, and concurrent programming.
• Experience scaling data environments with distributed batch and realtime systems and self-serve visualization environments.
• High development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment
• Proficiency in writing object oriented code for data processing in Python and/or Java, including development of web services.
• Experience building complex customized, highly scalable data pipelines with task orchestrators such as Airflow while building and maintaining the code base for data integration.
• Experience building complex fault tolerant docker containerized batch data processing tasks using Python and SQL  distributed over a kubernetes cluster using distributed task frameworks such as celery.
• Expertise producing and consuming data in real time from event driven microservices using streaming platforms like Kafka, Kinesis or RabbitMQ.
• Experience with building and managing realtime and near time data replication systems from OLTP databases into OLAP databases.
• A good understanding of cloud based columnar Data Warehouses/Data Lakes (Redshift and/or Snowflake) with distributed file systems such as S3, HDFS maintaining data in popular standard and  columnar compressed file formats.
• Expertise in wrangling with 3rd party API’s to push/pull data.
• Understand securely storing sensitive data in transit and at rest.
• Excellent verbal and written communication skills – Ability to synthesize complex ideas and communicate them in very simple ways.
• Highly analytical and detail-oriented.
• Ability to troubleshoot and fix issues quickly in a fast-paced environment.

Strong Plus:

• Worked with building web services using Flask, Django and/or FastApi
• Knowledge of serverless data computing with Amazon lambda, iron.io, etc.
• Financial services experience.
• Reporting and data visualization skills.

What We Offer You:

• Competitive salary and stock option plan. 
• 100% paid coverage of medical, dental and vision insurance. 
• Unlimited vacation. 
• Learning stipend for personal growth and development. 
• Paid parental leave.  
• Health and wellness initiatives.

Interested in joining Upgrade but don't think this role is for you? Check out our careers page!