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Senior Data Platform Engineer

1 hour, 48 minutes ago
United States, Canada
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Databricks Java JavaScript Kafka Kotlin Machine Learning Python Scala
Apply Now
Upstart

Upstart

Upstart Powered Loans: Personal, Car Refinance & Consolidation Through Upstart, apply online for a fast personal loan, auto refinancing, or debt consolidation. Try our quick rate check today with no impact to your credit! Founded by ex Googlers, Upstar...

Banks
1K-5K
Founded 2012
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Description

  • Design and build scalable data platform infrastructure, including distributed systems for data discovery, metadata management, and data access.
  • Develop and maintain self-serve tooling for data transformations, testing, and deployment workflows within the Lakehouse.
  • Improve data reliability and observability through monitoring, alerting, and data quality validation systems.
  • Partner with machine learning engineers, analysts, and product teams to understand data needs and drive platform adoption.
  • 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 with an eye toward scalability and maintainability.
  • Build and operate production-grade data systems in a cloud environment.
  • Support teams across Upstart in discovering, trusting, and using data effectively.

Requirements

  • 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 such as AWS.
  • Proficiency in at least one programming language such as Python, Java, Scala, Javascript, or Kotlin.
  • Experience with data processing frameworks or infrastructure such as Spark, Kafka, Airflow, or similar technologies.
  • Experience designing, deploying, and maintaining production-grade data systems, including monitoring and reliability practices.
  • Experience building or supporting data platforms, developer tooling, or internal infrastructure products (preferred).
  • Knowledge of metadata management, data cataloging, or data governance systems (preferred).
  • Experience with Lakehouse architectures, Databricks, or similar modern data platforms (preferred).
  • Ability to collaborate effectively with cross-functional stakeholders and translate data concepts into practical solutions (preferred).
  • Interest in applying AI/ML capabilities to improve data accessibility, discovery, or user experience (preferred).

Benefits

  • Anticipated base salary range of $166,900 to $230,900 USD for U.S. remote candidates, depending on location and experience.
  • Target bonuses and annual equity compensation, including equity grants that vest quarterly.
  • Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year.
  • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees.
  • Affordable medical, dental, and vision coverage, with Upstart covering 90% to 100% of costs depending on plan selection.
  • Health Savings Account contributions for eligible plans.
  • Company-paid Basic Life, AD&D, and Short- and Long-Term Disability coverage, with supplemental coverage options.
  • Paid time off, sick and safe time, and company holidays.
  • Paid family and parental leave, plus family support through Carrot and Cleo.
  • Employee Assistance Program (EAP), financial wellness resources, annual wellness allowance, annual productivity allowance, and onsite perks such as catered lunches and stocked micro-kitchens.

Interested in this position?

Apply directly on the company website

Apply Now

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