The Team:ย
Upstart's Data Curation team builds and operates the data platform that powers how teams across Upstart discover, trust, and use data. The team provides scalable infrastructure, metadata systems, and self-serve tooling that enable analysts, machine learning engineers, and product teams to work with Lakehouse data efficiently and confidently.
As a Senior Data Platform Engineer on the Data Platform team, you will design and build the systems that make data accessible, reliable, and usable at scale. Your work will directly improve how teams understand, query, and leverage data across Upstart, driving productivity and enabling better decision-making.
How you'll make an impact
- Design and build scalable data platform infrastructure, including distributed systems that power data discovery, metadata management, and data access
- Develop and maintain tooling that enables teams to self-serve data transformations, testing, and deployment workflows within the Lakehouse
- Improve data reliability and observability by building systems for monitoring, alerting, and data quality validation
- Partner with machine learning engineers, analysts, and product teams to understand data needs and drive adoption of platform capabilities
- Contribute to platform evolution in areas such as metadata services, natural language data access, and AI-enabled data interactions
- Lead and influence technical design decisions, balancing short-term delivery with long-term platform scalability and maintainability
Minimum Qualificationsย
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience) plus 4+ years of experience
- Experience building and operating distributed data systems or data platform infrastructure in a cloud environment (e.g., AWS)
- Proficiency in at least one programming language such as Python, Java, Scala, Javascript or Kotlin
- Experience working with data processing frameworks or infrastructure (e.g., Spark, Kafka, Airflow, or similar technologies)
- Experience designing, deploying, and maintaining production-grade data systems, including monitoring and reliability practices
Preferred Qualifications
- Experience building or supporting data platforms, developer tooling, or internal infrastructure products
- Knowledge of metadata management, data cataloging, or data governance systems
- Experience working with Lakehouse architectures, Databricks, or similar modern data platforms
- Ability to collaborate effectively with cross-functional stakeholders and translate data concepts into practical solutions
- Interest in applying AI/ML capabilities to improve data accessibility, discovery, or user experience
Position location This role is available in the following locations: Remote
Time zone requirements The team operates on the East/West coast time zones.
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
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