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Senior Data Analytics Engineer

United States, Reston · Job Posted June 02, 2026
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Job Description

We are looking for a Senior Data Analytics Engineer to help shape and scale modern data capabilities for a real estate and property organization in Reston, Virginia. This role focuses on designing reliable data pipelines, structuring analytical datasets, and enabling high-quality reporting and advanced insights across the business. The ideal candidate brings strong engineering depth, practical analytics expertise, and the ability to turn business needs into well-architected data solutions.

Job Responsibility

  • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use
  • Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform
  • Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs
  • Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows
  • Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions
  • Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage
  • Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git
  • Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases

Requirements

  • At least 5 years of experience in data engineering, analytics engineering, or a comparable data-centric role
  • Demonstrated expertise in dimensional modeling, including the design of fact tables, dimension tables, and slowly changing dimensions
  • Strong hands-on capability with Python, PySpark, SparkSQL, and notebook-based data development
  • Experience delivering end-to-end data solutions built on medallion architecture principles
  • Working knowledge of modern big data technologies such as Apache Spark, Hadoop, Kafka, and ETL frameworks
  • Familiarity with machine learning and AI concepts within contemporary analytics environments
  • Experience using Git within team-based software or data development workflows
  • Strong communication skills with the ability to align technical delivery with business objectives

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan

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