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AudienceView

Data Engineer

AudienceView

Data Engineer leading migration to Microsoft Fabric for live events technology company AudienceView. Designing and building data platforms to improve data quality and consumption.

Posted 6/10/2026full-timeRemote • 🇨🇱 ChileMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzurePySparkPythonSQL

About the role

Key responsibilities & impact
  • Lead the migration to Microsoft Fabric.
  • Rebuild existing pipelines, workflows, and workspaces from our Azure environment.
  • Expand and scale the platform to create value for users.
  • Design and build ingestion for new sources, create and validate transformation code, and surface data in intuitive semantic layers.
  • Maintain and improve data trust.
  • Work in a medallion architecture.
  • Put engineering quality first.
  • Connect data to consumption.
  • Consider storage and lifecycle.

Requirements

What you’ll need
  • Experience of Microsoft Fabric in production.
  • Deep experience of the Azure data stack.
  • Experience as an owner of a data platform migration.
  • Strong experience with PySpark and solid Python engineering skills.
  • Advanced SQL.
  • Disciplined approach to team procedures within Azure DevOps.
  • Power BI literacy.
  • Excellent written and spoken English.
  • Experience using modern development tools, including AI-assisted tooling (e.g. Warp, AI copilots, or similar) to improve productivity, debugging, and code efficiency.
  • Nice to Have: Experience developing code to process data from 3rd party APIs at scale.

Benefits

Comp & perks
  • Flexible work schedule: AudienceView empowers permanent employees to take off alternating Fridays by condensing their two-week schedule into 9 days.
  • Flexible, uncapped vacation and sick policy. Employees need time away from work to recharge.
  • Excellent benefits, competitive salaries, flexible hours, remote work opportunities, and more!
  • Diversity and inclusion are core values.

ATS Keywords

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Hard Skills & Tools
Microsoft FabricAzure data stackPySparkPythonSQLAzure DevOpsPower BIAI-assisted toolingdata ingestiondata transformation
Soft Skills
communicationteam proceduresengineering qualityproblem-solvingattention to detail