<div>About Upstart Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstarts AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas. 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!</div>The Data Platform Engineering team (Part of Upstarts core platform vertical) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The teams 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 focusing on Data Curation.  As the Data Platform Engineer joining this team, you will get the opportunity to contribute to following areas: <ol> <li>Build and maintain user-friendly, scalable tools that enable data teams and other stakeholders to perform data transformations without needing deep technical expertise.</li> <li>Expand the self-serve ETL and orchestration framework that developers use to build pipelines</li> <li>Manage, organize, and maintain the data catalog to ensure efficient data discovery, governance, access control, and metadata management across the organization.</li> </ol> We would love to hear from you if you are passionate about building data products! How you’ll make an impact: <ul> <li>Build and Improve the tools owned by the Data Curation team</li> <li>Participate in planning and prioritization by collaborating with stakeholders across the various product verticals and functions (ML, Analytics, Finance, Software engineering) to ensure our tools/frameworks help deliver overall business objectives.</li> <li>Collaborate with stakeholders such as Software Engineering, Machine Learning, Machine Learning Platform and Analytics teams to onboard them to the Lakehouse and adopt the developer tools </li> <li>Participate in code reviews and architecture discussions to exchange actionable feedback with peers. </li> <li>Help break down complex projects and requirements into stories for sprints.</li> <li>Continuously monitor and improve data platform performance, reliability, and security.</li> <li>Stay up-to-date with emerging technologies and industry best practices in data engineering.</li> <li>Develop and maintain technical documentation for the data platform, including design, architecture, and operational procedures. Promote best practices for data engineering within the organization.</li> </ul> What we’re looking for:  <ul> <li>Minimum requirements: <ul> <li>A bachelors degree in Computer Science, Data Science, Engineering, or a related field.</li> <li>3+ years of experience in data platform development, data engineering or related fields</li> <li>Proficiency in data engineering tech stack; Databricks / PostgreSQL / Python / Spark / Kafka / SQL / AWS / Airflow/ DBT / containers and orchestration (Docker, Kubernetes) and others.</li> <li>Ability to approach problems with first principles thinking, embrace ambiguity, and enjoy collaborative work on complex solutions. </li> </ul> </li> <li>Preferred qualifications: <ul> <li>Strong foundation in algorithms and data structures and their real-world use cases.</li> <li>Strong analytical and troubleshooting skills, with the ability to analyze complex technical challenges and deliver effective solutions.</li> <li>Experience and understanding of distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks).</li> <li>Experience with AWS technologies ( e.g.,  AWS Lambda, Redshift, RDS, S3, etc.).</li> <li>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.</li> <li>Ability to explain complex concepts in easy-to-understand ways and navigate environments where problems are not well-defined (and evolve quickly).</li> </ul> </li> </ul> Position Location - This role is available in the following locations: Remote, San Mateo, Columbus  Travel Requirements - This team has periodic on-site collaboration sessions twice or thrice a year. Upstart will cover all travel-related expenses if you need to travel to make these meetups. What youll love:  <ul> <li>Competitive Compensation (base + bonus &amp; equity)</li> <li>Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart </li> <li>401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings</li> <li>Employee Stock Purchase Plan (ESPP)</li> <li>Life and disability insurance</li> <li>Generous holiday, vacation, sick and safety leave  </li> <li>Supportive parental, family care, and military leave programs</li> <li>Annual wellness, technology &amp; ergonomic reimbursement programs</li> <li>Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering</li> <li>Catered lunches + snacks &amp; drinks when working in offices</li> </ul>   #LI-REMOTE #LI-Associate <div><div><div>At Upstart, your base pay is one part of your total compensation package.  The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).</div><div>United States | Remote - Anticipated Base Salary Range</div><div>$142,000—$196,600 USD</div></div></div><div>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.  If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email <a href="mailto:candidate_accommodations@upstart.com">candidate_accommodations@upstart.com</a> <a href="https://www.upstart.com/candidate_privacy_policy">https://www.upstart.com/candidate_privacy_policy</a></div>