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Job Description

As a Data Engineer II, you will support Homes.com by helping shape sitewide tracking architecture and ensuring data flows into KPI dashboards that inform day-to-day insights into consumer behavior. CoStar Group is focused on secure cloud data platforms, scalable pipelines, and practical analytics, with a role that also brings AI/ML model integration into the data lifecycle.

This onsite position is based in Arlington, VA. The salary range is USD 103,000 - 153,000 per year, and the role requires 3+ years of relevant hands-on experience. A bachelor’s degree from an accredited, not-for-profit, in-person college or university is required.

What you’ll do

  • Design and oversee implementation of dimensional modeling, database design, and cloud data platform structures, including Databricks, Snowflake, and BigQuery
  • Build a secure data platform framework for data warehouses and data lakehouses using Medallion Architecture
  • Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Snowflake, and other AWS services
  • Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks
  • Build and deploy AI/ML models by integrating machine learning into data pipelines, leveraging Databricks ML and AWS ML to develop predictive models and support business insights
  • Apply AI-assisted software development practices to improve engineering productivity and code quality
  • Translate knowledge of multiple data domains into transformations that meet changing business needs
  • Oversee automated data infrastructure and partner with software engineering and product teams to streamline product data tracking
  • Integrate data from disparate sources using cross-domain data stitching to align with existing data models
  • Implement data governance, lineage tracking, testing, and monitoring frameworks to help ensure data integrity
  • Perform hands-on data optimization and query performance improvements
  • Work with key teams (DBA, DevOps, SecOps) to support data accessibility and analysis
  • Mentor and manage engineers and analysts in executing their normal responsibilities
  • Deliver software development projects to specification, within scheduled timelines and budget parameters
  • Use AWS DevOps and CI/CD best practices to automate deployments using terraform, and manage data pipelines and infrastructure

Skills and experience

  • Bachelor’s degree required from an accredited, not-for-profit, in-person college/university
  • Commitment track record with prior employers
  • 3+ years of hands-on experience in software development delivering high-quality solutions
  • Strong data engineering foundation with Python, PySpark, and SQL
  • Solid understanding of Object-Oriented Programming principles and best practices
  • Proven success building and launching data-driven products operating at terabyte scale
  • Demonstrated experience designing and implementing enterprise-level secure and accurate data platforms
  • Ability to translate technical requirements into robust architecture, data models, and ETL strategies
  • Practical experience with cloud-based databases for both relational and non-relational systems
  • Knowledge of BI software such as Power BI or similar tools
  • Understanding of AI technologies and hands-on experience leveraging AI tooling in development, including Claude Code, GitHub Copilot, Cursor, Gemini, and Grok
  • Ability to retrieve, synthesize, and present critical data in structures useful for answering ad-hoc questions
  • Hands-on experience with optimization, data quality checks, data accuracy, and query performance improvement

Technologies you’ll work with

  • Databricks, Snowflake, BigQuery
  • Medallion Architecture
  • Spark, Databricks ML, AWS ML
  • Python, PySpark, SQL
  • Power BI
  • Claude Code, GitHub Copilot, Cursor, Gemini, Grok
  • AWS, terraform, CI/CD
  • Object-Oriented Programming

Benefits

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

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