Data & Analytics Engineer: AI, Lakehouse & BI Enablement

Pittsburgh Tomorrow

Pittsburgh (Allegheny County)

On-site

USD 90,000 - 120,000

Full time

11 days ago

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Job summary

Life in Pittsburgh in Pittsburgh, PA is seeking a data analytics professional with hands-on experience in AI technologies (MCP or RAG), Lakehouse architectures, and cloud platforms. The role focuses on data modernization of on-prem systems and building scalable data platforms.

You will work with business and data analysts to translate needs into analytical solutions, develop and test databases, queries, views, reports, and dashboards, and ensure data quality.

Qualifications

  • BA or BS degree required.
  • Experience with MCP or RAG AI technologies and Lakehouse architecture.
  • Experience with cloud platforms (AWS preferred) and MS T-SQL.

Responsibilities

  • Collaborate with Business Information and Data Analysts to understand customer needs.
  • Analyze data to improve business metrics and customer experience.
  • Develop and test BI tools, reports and dashboards.
  • Assist in data conversions, imports and exports across systems.
  • Document models, solutions and implementations.
  • Design and build reporting and analysis tools to streamline reporting and forecasting.
  • Support integration of analytical platforms with enterprise systems.
  • Troubleshoot analytics tools and track performance issues.
  • Adhere to policies and standards.

Skills

MCP/RAG AI
Lakehouse architecture
AWS cloud platform
APIs integration
SSIS
MS T-SQL
On-prem legacy systems

Education

BA or BS

Tools

SSIS

Job description

Life in Pittsburgh in Pittsburgh, PA is seeking a data analytics professional with hands-on experience in AI technologies (MCP or RAG), Lakehouse architectures, and cloud platforms. The role focuses on data modernization of on-prem systems and building scalable data platforms.

You will work with business and data analysts to translate needs into analytical solutions, develop and test databases, queries, views, reports, and dashboards, and ensure data quality.

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