Senior Data Platform Engineer
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. Upstart’s data platform team (Sub-squad within the broad data engineering squad) creates developer-friendly products that enable data discovery, governance, analytics, and reporting. The team’s mission is to promote data-driven decisions by creating the necessary tooling and frameworks in service to data engineering. You will be instrumental in defining and implementing our core infrastructure and help us realize our data-driven mission of affordable credit.
You’ll work closely with Product Managers, Engineers, Designers, and others in a cross-functional environment to ship developer-friendly products. You will also have the opportunity to lead various projects involving data pipelines, data governance, machine learning infrastructure, and API design and development, to name just a few, all working within our native cloud-based application stack.
As a Senior Data Platform Engineer, you’ll organize development efforts, mentor junior engineers, and set and maintain high standards of engineering excellence. You’ll also work with exceptionally talented peers and architects, and will never run out of opportunities to continue learning, honing your skills and growing your career.
Position Location - This role is available in the following locations: Remote (#LI-REMOTE)
Time Zone Requirements - This team operates on the West Coast time zone.
Travel Requirements - This team has regular on-site collaboration sessions. These occur a few days per quarter at the San Mateo office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
How you’ll make an impact:
- Design the data infrastructure architecture for driving large-scale data science projects
- Create the software that enables our industry-leading machine learning insights to be delivered at enterprise scale
- Build APIs and interfaces to deliver key analytic and data science insights
- Write scalable, robust, and fully-tested software for deployment in mission-critical production environments
- Work with cross-functional stakeholders to identify and prioritize use cases that support the company’s imperatives and objectives and improve upstarts engineers experiences
- Identify opportunities for data-driven applications that could measurably improve the Upstart engineer’s experience and the business’s efficiency through automation and machine learning
- Participate in defining cross-functional data governance
- Identify and provide tools and training to help others leverage data
What we're looking for:
- 8+ years of industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, etc) for building efficient, large-scale data pipelines.
- A strong background in distributed data processing & software engineering and with the ability to build high-quality, scalable data products.
- Strong knowledge of data architectures, databases, data modeling and data infrastructure ecosystem.
- Experience with relational databases (such as MySQL, Postgres) and analytics databases (such as Druid, Apache Pinot).
- Strong Software Engineering experience and proficiency in at least one high-level programming language (Java, Scala, Python or equivalent).
- BS in computer science, engineering, mathematics, statistics or a related field OR equivalent practical experience in data engineering.
Preferred Skills:
- Experience with cloud computing platforms such as Amazon AWS, Google Cloud
- Experience building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others
- Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB).
- Thorough understanding of data lake/warehouse architectures (BigQuery, Snowflake, RedShift)
- Experience building distributed, high-volume data service
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
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