Senior Data Engineer - AI-Driven Data Platform & Pipelines

CoStar; Irvine (CA); Hybrid; USD 128,000 - 190,000; Full time

Benefits offered by this job

Comprehensive healthcare coverage

401(K) retirement plan with matching

Employee stock purchase plan

Tuition reimbursement

Paid time off

Job summary

CoStar Group, the leader in real estate data, seeks a Senior Data Engineer for Apartments.com in Irvine. You will design data architectures, build scalable pipelines, and feed KPI dashboards with insights into user behavior and product performance.

The role partners across finance, product, and engineering to deliver robust data solutions. You’ll work in a hybrid setup (Mon–Thu in office, Fri remote) and leverage AWS, Databricks, Snowflake, and AI-enabled tooling to drive data quality and timely

Qualifications

• Bachelor's degree in a relevant field from an accredited institution.
• 6+ years of hands-on software development with data engineering focus.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with cloud data platforms and data governance.

Responsibilities

• Design and oversee dimensional modeling and data platform structures.
• Build scalable data pipelines and ETL processes using Databricks and Snowflake.
• Develop AI/ML integrations and optimize data processing workflows.
• Collaborate with cross‑functional teams to deliver data-driven insights.

Skills

Python

PySpark

SQL

Big data

Cloud platforms

Education

Bachelor's degree

Tools

Databricks

Snowflake

AWS

DynamoDB

Kafka

Job description

CoStar Group, the leader in real estate data, seeks a Senior Data Engineer for Apartments.com in Irvine. You will design data architectures, build scalable pipelines, and feed KPI dashboards with insights into user behavior and product performance.

The role partners across finance, product, and engineering to deliver robust data solutions. You’ll work in a hybrid setup (Mon–Thu in office, Fri remote) and leverage AWS, Databricks, Snowflake, and AI-enabled tooling to drive data quality and timely