Senior Data Platform Engineer, Upstart
$163.6-226.4k
+ Bonus & equity + Employee Stock Purchase Plan (ESPP)
More information about location
AI lending marketplace
Be an early applicant
AI lending marketplace
1001+ employees
Be an early applicant
$163.6-226.4k
+ Bonus & equity + Employee Stock Purchase Plan (ESPP)
More information about location
1001+ employees
Company mission
To enable effortless credit based on true risk.
Role
Who you are
- A bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- 5+ years of experience in data engineering or related fields, with a strong focus on data quality, governance, and data infrastructure
- Proficiency in data engineering tech stack; Databricks / PostgreSQL / Python / Spark / Kafka / SQL / AWS / Airflow/ DBT / containers and orchestration (Docker, Kubernetes) and others
- Ability to approach problems with first principles thinking, embrace ambiguity, and enjoy collaborative work on complex solutions
Desirable
- Strong foundation in algorithms and data structures and their real-world use cases
- Experience and understanding of distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks)
- Experience with AWS technologies ( e.g., AWS Lambda, Redshift, RDS, S3, etc.)
- Knowledge of data quality management, data governance, and data security best practices
- Good knowledge of DevOps engineering using Continuous Integration/Delivery tools like Kubernetes, Jenkins, Terraform, etc., thinking about automation, alerting, monitoring, security, and other declarative infrastructure
- Ability to explain complex concepts in easy-to-understand ways and navigate environments where problems are not well-defined (and evolve quickly)
What the job involves
- The Data Platform Engineering team (Part of Upstart's core platform vertical) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart
- The team's primary objective is to provide Data Analysts, Software Engineers, and ML scientists access to high-quality data and developer tools to create business metrics for respective product verticals
- You will join the subdivision of our Data Platform teams focusing on Data Quality, Governance, and Production Experience (Data Infrastructure)
- As a Senior Data Platform Engineer at Upstart, you will get the opportunity to contribute to 3 areas:
- Expand the existing developer tools to support Upstart's various data validation & quality checks by integrating with open-source, 3rd party, and custom data quality solutions
- Build a framework to capture Data Lineage and location of critical fields and integrate with Upstart's data catalog solution that informs various data handling rules
- Improve data infrastructure uptime and observability
- We would love to hear from you if you are passionate about building data products!
- Participate in planning and prioritization by collaborating with stakeholders across the various product verticals and functions (ML, Analytics, Finance, Legal, Privacy, Security) to ensure our architecture aligns with the overall business objectives
- Collaborate with Data Governance and Security teams to implement robust privacy requests, data protection mechanisms, access controls, and data lineage
- Participate in code reviews and architecture discussions to exchange actionable feedback with peers
- Contribute to engineering best practices and mentor junior team members
- Help break down complex projects and requirements into sprints
- Continuously monitor and improve data platform performance, reliability, and security
- Stay up-to-date with emerging technologies and industry best practices in data engineering
- Design and ship code independently
Our take
Based in San Mateo, California, Upstart is piositioning itself as a leading AI lending marketplace, connecting millions of consumers with more than 100 banks and credit unions. In a market where credit access can be limited by traditional scoring methods, Upstart aims to make lending fairer and more accessible by using technology to better understand each borrowers true potential.
Upstart builds AI and cloud-based tools that help lenders approve more borrowers at lower rates. Its models analyze thousands of variables (not just credit scores) to predict creditworthiness more accurately. And through its platform, consumers can access personal, auto, and home-equity loans, as well as smaller "relief" loans, all through a seamless digital experience.
So far, its success is reflected in its high loan automation rate (over 90% of loans are fully processed without human intervention) and the billions in loan originations it has facilitated. The company continues to refine its AI models and expand its offerings, with the goal of helping lenders serve more customers while making borrowing easier and more affordable.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Apr 2019
$50m
SERIES D
Mar 2017
$32.5m
SERIES D
Total funding: $135.7m
Company benefits
- Comprehensive health plans
- 401k Plan
- Annual wellness reimbursement
- Disability insurance
- Generous vacation policy
- Flexible time off
- Parental leave
- Family forming benefits through Carrot
- Technology equipment budget
- Personal development budget
- Various clubs and extracurricular activities
- Catered lunches
- Fully stocked micro-kitchen
Company HQ
South San Mateo, San Mateo, CA
Leadership
David Girouard
(Founder & CEO)They started their career at Accenture and Booz Allen & Hamilton before working in Product Management at Apple and Virage. They left their role of 8 years as President of Enterprise at Google to found Upstart in March 2012.
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