Data Engineer II: Cloud Pipelines & AI Insights

CoStar Group; Arlington (VA); On-site; USD 103,000 - 153,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) retirement plan

Stock purchase plan

Tuition reimbursement

On-site wellness facilities

Job summary

CoStar Group is seeking a Data Engineer II to support Homes.com by shaping sitewide tracking and KPI dashboards. This onsite Arlington, VA role focuses on secure cloud data platforms, scalable pipelines, and practical analytics with AI/ML model integration within the data lifecycle.

The candidate will design data architectures, build and optimize data pipelines, and collaborate with DBA/DevOps teams to ensure data integrity and accessibility.

Qualifications

• Bachelor’s degree from an accredited, not-for-profit institution is required.
• 3+ years of hands-on software development experience.
• Strong data engineering foundation with Python, PySpark, and SQL.
• Experience with cloud data platforms and data governance concepts.
• Experience designing scalable data pipelines and ETL workflows.

Responsibilities

• Design and oversee dimensional modeling and database design.
• Build secure data platform frameworks for data warehouses and lakehouses.
• Develop scalable data pipelines and ETL using Databricks and Snowflake.
• Implement and optimize Spark jobs and data processing workflows.
• Integrate AI/ML models into data pipelines and leverage Databricks ML and AWS ML.

Skills

Python

PySpark

SQL

Data modeling

ETL

BI tooling

AI tooling awareness

Education

Bachelor’s degree

Tools

Databricks

Snowflake

BigQuery

AWS

Terraform

CI/CD

Medallion Architecture

Spark

Databricks ML

AWS ML

Power BI

Claude Code

GitHub Copilot

Cursor

Gemini

Grok

Job description

CoStar Group is seeking a Data Engineer II to support Homes.com by shaping sitewide tracking and KPI dashboards. This onsite Arlington, VA role focuses on secure cloud data platforms, scalable pipelines, and practical analytics with AI/ML model integration within the data lifecycle.

The candidate will design data architectures, build and optimize data pipelines, and collaborate with DBA/DevOps teams to ensure data integrity and accessibility.