highlisted

Data Engineer (US, Remote)

Academian·Remote

Pay not stated8–14 yrsFull-timeRemote

Read from the company's own careers page; you apply on their site.

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About the role

We are seeking an experienced Data Engineer to assess and provide recommendations for modern data platforms, helping organizations improve data architecture, engineering practices, governance, reporting, and readiness for AI-enabled solutions.

What you'll do

  • Assess data platform architecture, data pipelines, integrations, and engineering practices to identify gaps and improvement opportunities
  • Evaluate data ingestion, transformation, orchestration, and incremental data loading processes
  • Review data quality, governance, lineage, security, and access management practices
  • Assess reporting and analytics capabilities, including Power BI semantic models and data consumption patterns
  • Identify opportunities to improve platform scalability, reliability, maintainability, and performance

What you need

  • 8–14 yrs of experience
  • SQL
  • ETL
  • Databricks
  • Snowflake
  • Power BI
  • MBA

Good to have

  • CRM
  • Data privacy
  • CI/CD

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