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Sr. Data Engineer – Real Estate Private Equity

Federal Capital Partners
Chevy Chase, USA
Full-time
Mid · 4+ years experience
Onsite
Discovered 1 weeks ago
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Full Job Posting

RESPONSIBILITIES

  • As a Sr. Data Engineer, you will support our business lines, clients and investment decisions by:
  • Design and develop AI-assisted data pipelines, semantic models, and Power BI reports to support investment decisions and operations
  • Build, automate, and maintain data ingestion pipelines using Microsoft Fabric Data Factory and Python
  • Develop automated financial data analysis workflows and reporting solutions that leverage AI and machine learning capabilities
  • Integrate and govern disparate financial and operational data sources within FCP’s Microsoft Fabric lakehouse environment
  • Lead data quality, reconciliation, and lineage initiatives across investment, financial, and asset management datasets

REQUIREMENTS

  • Bachelor’s degree or advanced degree in Engineering or Computer Science with excellent academic credentials
  • Experience or previous interest in Real Estate strongly preferred
  • Minimum of 4 years of relevant work experience
  • Minimum of 2 years of experience building and deploying data engineering solutions on cloud platforms (Azure preferred)
  • Minimum of 2 years of relevant data analytics work experience
  • Minimum of 2 years of experience with python and associated data libraries
  • Minimum of 2 years of experience with databases & queries
  • Ability to analyze qualitative and quantitative information and translate into strategic deliverables
  • Ability to work independently and within a team
  • Experience working in Microsoft Azure and/or Microsoft Fabric; familiarity with AI services such as Azure OpenAI strongly preferred
  • Excellent written and oral communication skills
  • Experience in presenting ideas and analysis to groups and leadership
  • Motivated self-starter with effective time management skills and strong attention to detail
  • A desire to work within a fast-paced, collaborative, and entrepreneurial environment
  • Required Technical Skills:
  • Excel (Complex Formulas, PivotTables, Formatting)
  • Microsoft Fabric (Lakehouse, Data Factory, Notebooks)
  • Python
  • SQL
  • Power BI & DAX
  • Preferred Technical Skills:
  • Azure OpenAI & AI Services
  • Databricks
  • JavaScript/HTML/CSS
  • LangChain or other AI/LLM orchestration frameworks
  • Financial Modeling

Preferred Qualifications

  • Experience or previous interest in Real Estate strongly preferred
  • Minimum of 2 years of experience building and deploying data engineering solutions on cloud platforms (Azure preferred)
  • Experience working in Microsoft Azure and/or Microsoft Fabric; familiarity with AI services such as Azure OpenAI strongly preferred

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