Sr. Data Engineer – FCP Tech

FCP • Chevy Chase, MD

8d • $100,000 - $115,000 • Onsite

About The Position

Real Estate Private Equity is an exciting industry with the power to shape communities and change the built environment. FCP®, a subsidiary of Federated Hermes, Inc, is a leading real estate investment company that has invested in or financed more than $14.8 billion in gross asset value since its founding in 1999. We are currently seeking a Sr. Data Engineer to join our Washington, DC team. FCP’s technology team is at the forefront of this transformation, leveraging AI, automation, and modern data platforms to drive smarter investment decisions and operational excellence. This role offers a unique opportunity to work directly with firm leadership, industry experts, and cutting-edge tools to make a measurable impact on the business.

Requirements

• Bachelor’s degree or advanced degree in Engineering or Computer Science with excellent academic credentials
• 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
• Experience or previous interest in Real Estate strongly preferred
• Excel (Complex Formulas, PivotTables, Formatting)
• Microsoft Fabric (Lakehouse, Data Factory, Notebooks)
• Python
• SQL
• Power BI & DAX

Nice To Haves

• Azure OpenAI & AI Services
• Databricks
• JavaScript/HTML/CSS
• LangChain or other AI/LLM orchestration frameworks
• Financial Modeling

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior