Data Engineer, Product at Upstart (Remote)

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About Upstart

Upstart is a leading AI lending platform partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.

By leveraging Upstart's AI platform, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates, while simultaneously delivering the exceptional digital-first lending experience their customers demand. Upstart's patent-pending platform is the first to receive a no-action letter from the Consumer Financial Protection Bureau related to fair lending. Upstart not only supports a large remote workforce, but also has offices in San Mateo, CA; Columbus, OH; and Austin, TX.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!


The Team and Role

Upstart’s Data Engineering team builds the data infrastructure and platform for our AI lending products. Data engineering is part of our engineering organization, as we believe great data engineering relies on solid software engineering fundamentals. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you.

As a Senior Data Engineer, you may work cross functionally with product, software engineering, machine learning, finance, growth, and other stakeholders, driving projects from conception to launch, in order to help teams leverage data in their decision making. Thus, helping accomplish our mission of enabling effortless credit based on true risk.

Position Location - This role is available in the following locations: Remote, Columbus. 

Time Zone Requirements - This team operates on the East/West Coast time zones.

Travel Requirements - This team has regular on-site collaboration sessions. These occur quarterly at your home office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

How you’ll make an impact:

  • Develop and automate large scale, high-performance data processing systems

  • Design data models for optimal storage and retrieval to meet critical business requirements

  • Collaborate with data scientists to build data pipelines for training Upstart’s Machine Learning models

  • Ensure delivery of critical data with expected data quality reliably, following Minimum Viable Product (MVP) principles

  • Contribute to shared Data Engineering tooling & standards to improve the productivity of Data Engineers and data consumers

  • Influence cross-functional teams of business stakeholders, data scientists, and team members to derive maximum value from data

  • Maintain high standards of engineering excellence through code reviews, unit tests, and robust alerting


What we’re looking for: 

  • Minimum requirements:
    • 3+ year(s) of experience as a Data Engineer or Software Engineer with a focus in Data Engineering

    • Proficiency in at least one high-level programming language (Java, Scala, Python, or equivalent)

    • Expertise building real-time or batch data pipelines using Spark, Flink or other open source frameworks

    • Experience with relational databases (such as MySQL, PostgreSQL) and strong knowledge of data structures and relational data modeling

    • Excellent communication skills, particularly with explaining technical or complex matters to non-technical audiences

    • MS or BS in Computer Science, Engineering, Mathematics, Statistics, Bioinformatics or a related field OR equivalent practical experience in Data Engineering

  • Preferred qualifications:
    • Experience with cloud computing platforms like AWS, Azure, or Google Cloud

    • Experience with workflow management and data pipeline orchestration tools such as Airflow or Oozie

    • Experience with data lake/warehouse architectures (BigQuery, Snowflake, Redshift)

    • Experience building reliable, distributed, high-volume data services

  • Our tech stack:

    Python, SQL, AWS, Airflow, Spark, Kafka, PostgreSQL, Redshift, Looker, Kubernetes, and Docker

What you’ll love: 

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage
  • Personal Development and Technology & Ergonomic Budgets 
  • Life insurance and disability benefits 
  • Clubs and Activities  (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams) 
  • Generous vacation policy
  • 401(k) and Employee Stock Purchase Plan (ESPP)
  • Catered lunches + snacks & drinks

The minimum base pay for this position in Colorado is $101k base + bonus + equity + benefits. Base pay may vary depending on job-related knowledge, skills, and experience. This information is provided in accordance with the Colorado Equal Pay Act. It is specific to Colorado and may not be applicable to other locations

(#LI-REMOTE)


Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. 

https://www.upstart.com/candidate_privacy_policy

More Information on Upstart
Upstart operates in the Fintech industry. The company is located in San Mateo, CA and Columbus, OH. Upstart was founded in 2012. It has 772 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 34 open jobs at Upstart, click here.
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