Senior Data Platform Engineer

Upstart

Remote Actively hiring Verified listing
Canada Posted 50 days ago Apply by Sep 1, 2026 $166,900–$230,900 / year
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Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $199k
$120k most similar roles pay here $243k

This role pays more than 69% of similar roles. Most pay $136,500–$211,743 — the shaded band above. At the midpoint, this role pays about $199k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Upstart

Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.

Upstart currently has 40 open roles on FindRole.

Listed pay typically runs $177,200–$245,400 across 40 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR

As a Senior Data Platform Engineer on Upstart’s Data Curation team, you will design and build scalable data platform infrastructure that enables efficient and confident use of Lakehouse data by analysts, machine learning engineers, and product teams. Your responsibilities include developing self-serve tooling for data transformations and deployment workflows, improving data reliability through monitoring and alerting systems, and partnering with cross-functional teams to drive adoption of platform capabilities. You will contribute to the evolution of metadata services and AI-enabled data interactions while ensuring short-term delivery aligns with long-term scalability goals. The role requires experience in building distributed data systems in cloud environments like AWS, proficiency in languages such as Python or Java, and familiarity with frameworks like Spark and Databricks.

Skills

AWS Python Spark Kafka Airflow Databricks CI/CD Lakehouse Metadata Data Governance Collaboration Tools Monitoring Reliability Practices

What you'll do

  • Design and build scalable data platform infrastructure for efficient data discovery.
  • Develop tooling to enable self-service data transformations and deployment workflows.
  • Enhance data reliability through monitoring, alerting, and quality validation systems.
  • Partner with teams to understand data needs and drive platform capability adoption.
  • Lead technical design decisions balancing short-term delivery with long-term scalability.

What we're looking for

  • 4+ years of experience building and operating distributed data systems in a cloud environment.
  • Proficiency in at least one programming language such as Python, Java, Scala, or Kotlin.
  • Experience with data processing frameworks like Spark, Kafka, Airflow, or similar technologies.
  • Strong background in designing, deploying, and maintaining production-grade data systems.
  • Knowledge of metadata management, data cataloging, and governance systems preferred.
  • Familiarity with Lakehouse architectures and modern data platforms such as Databricks.

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