A consumer fintech companyHiring

Senior Analytics Engineer

  • Remote, United States
  • Senior
  • Posted 6 days ago
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In one line

Senior analytics engineering role on a central team, building dimensional models in dbt and BigQuery; remote with a semi-embedded setup.

About the role

The team keeps data consistent and trustworthy so analysts and business stakeholders can self-serve. Engineers sit close to the analyst teams they support while belonging to one central practice.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
dbt, BigQuery, Data Modeling, Data Quality
Posted
23 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Design and build dimensional models in dbt and BigQuery that hold up as the business changes
  • Make and document tradeoffs between normalization, performance and usability
  • Cut technical debt through model layering, naming and testing standards, macros and incremental strategy
  • Own data quality for your models, including checks, alerting and root-cause work on discrepancies
  • Agree core business definitions with stakeholders and turn needs into technical requirements

What they look for

  • Five or more years in analytics engineering, data engineering or a related role
  • Deep data modeling experience, including grain, slowly changing dimensions and fact table design
  • Ability to handle conforming dimensions, many-to-many relationships and late-arriving or restated data

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Claude

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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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Questions about this job

Is this a remote job, and where can I work from?

The posting lists it as remote for people in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: five or more years in analytics engineering, data engineering or a related role; deep data modeling experience, including grain, slowly changing dimensions and fact table design; ability to handle conforming dimensions, many-to-many relationships and late-arriving or restated data. Skills it names include dbt, BigQuery, Data Modeling, Data Quality.

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A consumer fintech companyRemote, United States
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