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Data Engineer | Staffing

Roles & Responsibilities

  • Bachelor's in Computer Science, Data Engineering, IT, or equivalent
  • 3-5 years in data engineering
  • Strong T-SQL; hands-on experience with Microsoft Fabric, Power BI, and data warehouse concepts
  • Python/PySpark experience

Requirements:

  • Design, build, and optimize ETL pipelines using Microsoft Fabric and Medallion Architecture
  • Identify and integrate new data sources; assemble complex datasets aligned to business needs
  • Improve infrastructure scalability, data delivery, and process automation
  • Monitor data quality, troubleshoot issues, and enforce governance and security standards

Job description

Data Engineer - Long-Term Contract

Build and maintain data pipelines and infrastructure that power data-driven decisions across the firm. You'll work within the Data Science team, collaborating with analysts, scientists, and stakeholders to ensure high-quality, accessible data.

Responsibilities

  • Design, build, and optimize ETL pipelines using Microsoft Fabric and Medallion Architecture

  • Identify and integrate new data sources; assemble complex datasets aligned to business needs

  • Improve infrastructure scalability, data delivery, and process automation

  • Monitor data quality, troubleshoot issues, and enforce governance and security standards

  • Support business intelligence tools and data models; collaborate with Executive Leadership, App Dev, Marketing, and Finance

  • Maintain documentation; participate in monthly on-call rotation

Requirements

  • Bachelor's in Computer Science, Data Engineering, IT, or equivalent

  • 3–5 years in data engineering

  • Strong T-SQL; hands-on experience with Microsoft Fabric, Power BI, and data warehouse concepts

  • Python/PySpark experience

  • Ability to manage multiple projects and analyze large datasets

Nice to Have: Microsoft Fabric certification, R/PowerShell, NoSQL/APIs, ML/data mining experience

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