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Principal Analytics Engineer

Upstart LogoUpstart
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Salary

Anticipated Base Salary Range: $180,600—$250,000 USD

Location

Remote

Our team designs and develops robust and scalable data models for analytics and machine learning stakeholders to empower them to retrieve meaningful insights. Our analytics engineering team is centralized within the company and partners closely with data engineering, data platform, software engineers, ML engineers and cross functional analytics squads to stitch together datasets to create data models that are ready for consumption.

In addition to architecting data models, we implement Analytics Engineering best practices around Data Governance, Data Quality, Data Orchestration and pipeline optimization. We enable analysts to think like software engineers by defining, documenting and ensuring adoption of best practices when making contributions to the analytical code-base.

How you’ll make an impact:

  • Formulate a technical vision and roadmap for analytics engineering at Upstart
  • Understand how data is produced and consumed at a deep level - you will need to be extremely collaborative with the teams that produce and consume the data to create an end-to-end solution that maximizes the value of our data
  • Having an impact on the software engineering, analytics, and machine learning organizations by educating them on data architecture practices that improve the data landscape across the entire company
  • Be a close strategic partner to analytics squads to participate in decision making on the analytics road map for Upstart

What we’re looking for:

  • Minimum requirements:
    • 10+ year(s) of experience as a Data Engineer / Analytics Engineer / BI Engineer
    • Strong understanding of data modeling concepts in both transactional and analytical databases
    • Proven ability to design and implement the data architecture at an organizational level to lead to better outcomes for producers and consumers of the data
    • Excellent communication and collaboration skills, particularly when explaining technical or complex matters to less technical co-workers
  • Preferred qualifications:
    • Familiarity with business intelligence visualization tools such as Looker or Mode.
    • Experience with cloud computing platforms like AWS, Azure, Google Cloud
    • Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift)
    • Experience prioritizing goals based on the larger picture, while being comfortable getting into the details as needed

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