ETL / Power BI Engineer (Agentic AI – Claude Code)

Hybrid in New Brunswick, NJ, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
No Travel Required
On-site
$110,000 - $120,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ETL / Power BI Engineer (Agentic AI – Claude Code)
  • ETL / Power BI Engineer
  • Agentic AI – Claude Code
  • ETL
  • Power BI Engineer
  • Agentic AI
  • Claude Code
  • Data engineering
  • ETL development
  • BI engineering
  • Power BI
  • AI/ML

Summary

Role- ETL / Power BI Engineer (Agentic AI – Claude Code)

Location- Princeton, NJ & NYC, NY (Hybrid) - Relocation from EST or CST is acceptable.

Experience: 10+ Years

 

Required Skills & Qualifications:

  • 8–10+ years in Data engineering , ETL development, BI engineering, with strong hands-on in Power BI & AI/ML

 

Expertise in:

  • SQL (complex queries, optimization, window functions).
  • DAX (measures, calculated columns, time intelligence, performance tuning).
  • Data modeling (star/snowflake schemas, semantic layers).
  • Solid experience building ETL/ELT pipelines in cloud environments (Azure: ADF, Databricks, Synapse; or AWS/Google Cloud Platform equivalents).
  • Proficient in Python and/or Spark for data transformation and automation.
  • Hands-on experience using Claude Code (or similar agentic IDEs) for real data engineering tasks: generating code, tests, refactors, and documentation.
  • Familiarity with agentic patterns: skills, prompts, MCP connectors, and integrating AI agents into CI/CD or data workflows.
  • Strong understanding of data quality, governance, and security in analytics platforms (RLS, workspace roles, deployment pipelines).

 

Nice-to-Have

  • Experience with dbt, Data Factory, Databricks, Snowflake, or Fabric.
  • Exposure to Power BI agent skills / Skills for Fabric or similar AI-assisted report-building capabilities.
  • Background in knowledge graphs / ontologies or advanced metadata management.
  • Certifications: Microsoft PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), Databricks, or cloud data engineering certs.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119106
  • Position Id: 9091780
  • Posted 7 hours ago
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