ASPCAHiring

Senior Enterprise Data Engineer

  • USD 138,000 to 143,000 per year
  • Remote, United States
  • Senior
  • Posted 7 days ago
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In one line

Senior data engineering role on a central data team, building warehouse models in dbt Core on Microsoft Fabric and Azure Data Factory. Remote within the US, with some travel.

About the role

The team is moving the organisation off separate siloed systems and onto one shared enterprise data warehouse. Work is judged by data that stays accurate, fast and dependable, and by pipelines other teams can trust.

At a glance

Pay
USD 138,000 to 143,000 per year
Remote scope
Remote, United States
Seniority
Senior
Skills
dbt Core, Microsoft Fabric, Azure Data Factory, Medallion architecture, Dimensional modeling, Master data management
Posted
22 Oct 2026
Last checked
27 Oct 2026

What you will do

  • Build and look after dbt Core models and workflows across the medallion layers
  • Bring master data management steps into the wider enterprise pipelines
  • Work with stakeholders across departments on the shift to one central data solution
  • Keep data assets accurate, quick and reliable, and in line with set standards

What they look for

  • Hands-on depth with dbt Core and dimensional plus medallion modelling
  • Substantial experience building and supporting enterprise pipelines on Microsoft Fabric and Azure Data Factory
  • A collaborative approach suited to a distributed data team
  • Clear, consistent habits around data quality

Benefits

  • Health cover, with dental paid by the employer and optional vision
  • Flexible time off

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How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior Enterprise Data Engineer as a remote role for candidates in the United States.

What does this job pay?

The posting states USD 138,000 to 143,000 per year.

What experience is needed?

It is a senior role. The posting asks for: hands-on depth with dbt Core and dimensional plus medallion modelling; substantial experience building and supporting enterprise pipelines on Microsoft Fabric and Azure Data Factory; a collaborative approach suited to a distributed data team. Skills it names include dbt Core, Microsoft Fabric, Azure Data Factory, Medallion architecture.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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