Data Engineer (US, Remote)
RemoteFull-time8–14 yrsPosted 1 week ago
Leadership data science role at Academian. Needs 8+ years and an MBA. Remote.
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
- SQL
- ETL
- Databricks
- Snowflake
- Power BI
Good to have
- CRM
- Data privacy
- CI/CD