Hiring: Data Engineer II - Homes.com - Arlington, VA Company: Homes.com Location: Arlington, VA Job Posted Time: 2026-09-16 23:18:07 Employment Type: Full-time / On-site Target Skills & Keywords : AI, AWS, Accessibility, Azure, BigQuery, CI/CD, Data Lakehouse, Data Pipeline, Data Warehouse, Databricks, DynamoDB, ETL, GitHub, Kafka, LLM, Machine Learning, PySpark, Python, S3, SQL, Snowflake, Spark, Stitch, Terraform About the job Experience: •3+ years of hands-on experience in software development, delivering high-quality solutions Required Skills: •This position is located in Arlington, VA, and offers a schedule of Monday to Thursday in the office and work from home on Fridays. •Design and Oversee implementation of dimensional modeling, database design, and cloud data platform structures (e.g., Databricks, Snowflake, BigQuery) •Develop data platform framework to build secure data warehouses and data lakehouses applying principles of 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 •Building and deploying 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 be able to translate them through data transformations to suit various business needs Qualifications: •Bachelor's degree required from an accredited, not-for-profit, in-person college/university •A track record of commitment to prior employers •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 platform •Demonstrated capacity to translate technical requirements into robust architecture, data models, and ETL strategies •Practical experience with cloud-based databases, including both relational and non-relational systems •Knowledge of business intelligence software (i.e. 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) Compensation: •$103,000 - $153,000 / year •401(K) retirement plan with matching contributions Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!