Data Engineer II - Homes.com - Arlington, VA

About the role

CoStar Group’s Homes.com division is seeking a Data Engineer II to accelerate growth by building site‑wide tracking architecture, delivering user‑friendly KPI dashboards, and providing day‑to‑day insights into consumer behavior. The role involves designing and maintaining automated data infrastructure, delivering data‑engineering and analytics solutions, and facilitating data access and analysis across the company. The position is based in Arlington, VA and supports a hybrid schedule.

Responsibilities

• Design and oversee implementation of dimensional modeling, database design, and cloud data platform structures (e.g., Databricks, Snowflake, BigQuery).
• Develop a data platform framework to build secure data warehouses and data lakehouses applying Medallion Architecture principles.
• 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: integrate machine learning into data pipelines, leverage Databricks ML and AWS ML to develop predictive models and drive business insights.
• Define and apply AI‑assisted software development practices to improve engineering productivity and code quality.
• Understand various data domains and translate them through data transformations to suit business needs.
• Oversee automated data infrastructure: collaborate with software engineering and product teams to streamline data tracking in products.
• Integrate data from disparate sources via cross‑domain stitching into the existing data model.
• Implement data governance, lineage tracking, testing, and monitoring frameworks to guarantee data integrity.
• Perform hands‑on data optimization and query‑performance tuning.
• Liaise with key company teams (DBA, DevOps, SecOps, etc.) for data accessibility and analysis.
• Mentor and manage engineers and analysts in the execution of their responsibilities.
• Successfully implement software development projects to specification, within scheduled timelines and budget parameters.
• Leverage AWS DevOps and CI/CD best practices to automate deployment (via Terraform) and management of data pipelines and infrastructure.

Basic Qualifications

• Bachelor’s degree required from an accredited, not‑for‑profit, in‑person college/university.
• A track record of commitment to prior employers.
• 3+ years of hands‑on experience in software development, delivering high‑quality solutions.
• Strength in Data Engineering, with strong proficiency in Python, PySpark, and SQL.
• Solid foundation in Object‑Oriented Programming principles and best practices.
• Demonstrated success in building and launching data‑driven products operating at terabyte scale.
• Proven record of 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, both relational and non‑relational.
• Knowledge of business intelligence software (e.g., Power BI or similar tools).
• Understanding of AI technologies and hands‑on experience leveraging AI tooling in development (Claude Code, GitHub Copilot, Cursor, Gemini, Grok).
• Ability to retrieve, synthesize, and present critical data in structures immediately useful for answering specific ad‑hoc questions.
• Hands‑on experience with data optimization, quality checks, accuracy, and query‑performance improvement.

Preferred Qualifications

• Hands‑on experience or familiarity with big data platforms such as Databricks or Snowflake.
• Proficiency with cloud platforms, including AWS or Azure.
• Experience working with NoSQL databases (e.g., DynamoDB) and object storage systems (e.g., Amazon S3, GCS).
• Practical knowledge of event‑streaming technologies, especially Kafka.
• Experience leveraging AWS compute and container services for scalable solutions.
• Familiarity with large language models (LLMs), prompt engineering, or agent‑based architectures.
• Great analytical and problem‑solving skills, with the ability to tackle complex technical challenges.
• Strong ability to understand technical challenges and complex designs, and communicate them as simple business ideas or solutions to senior management and stakeholders.

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 families.
• 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, and 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.

Pay

Base Compensation: $103,000 – $153,000 annually (range based on location, skills, and competencies).

Schedule

Monday to Thursday in the office; work from home on Fridays.