Senior Data Engineer

CoStar Group

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Irvine, CA
Salary: $128,000–$190,000 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k

This role $159k

$113k $212k

below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $126,800–$202,561 — the blue band above. At the midpoint, this role pays about $159k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About CoStar Group

CoStar Group is the leading provider of commercial real estate information, analytics, and online marketplaces, including CoStar, Apartments.com, and LoopNet platforms. Industry: Commercial Real Estate Data & Analytics

CoStar Group currently has 59 open roles on FindRole.

Listed pay typically runs $133,000–$190,000 across 59 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer - Apartments.com joins the data management team to build and maintain the sitewide tracking architecture for the nation’s leading rental marketplace. This role involves designing dimensional models, cloud data platform structures, and scalable ETL processes to feed KPI dashboards that track site performance and consumer behavior. You will develop data lakehouses using Medallion Architecture, optimize Spark jobs, and integrate machine learning models into pipelines. Key technologies include Python, PySpark, SQL, Databricks, Snowflake, BigQuery, and AWS services like S3 and DynamoDB. You will also utilize AI tools like GitHub Copilot and Claude Code to improve engineering productivity. The role solves complex data integration challenges by stitching disparate sources into a secure, enterprise-level platform to provide actionable insights for various business departments.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

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Skills

Python PySpark SQL Databricks Snowflake AWS BigQuery Spark Terraform CI/CD Kafka DynamoDB Amazon S3 Power BI Machine Learning NoSQL Object-Oriented Programming Medallion Architecture ETL Data Governance

What you'll do

Design and oversee dimensional modeling, database design, and cloud data platform structures.
Develop scalable data pipelines and ETL processes using Databricks, Snowflake, and AWS services.
Build and deploy AI/ML models integrated into data pipelines to drive business insights.
Implement data governance, lineage tracking, testing, and monitoring frameworks to ensure data integrity.
Automate the deployment and management of data pipelines and infrastructure using AWS DevOps and CI/CD.
Optimize query performance and manage automated data infrastructure for site tracking.
Mentor and manage engineers and analysts in the execution of their daily responsibilities.

What we're looking for

Bachelor's degree from an accredited, not-for-profit, in-person college/university.
6+ years of hands-on experience in software development delivering high-quality solutions.
Strong proficiency in Python, PySpark, and SQL for data engineering.
Solid foundation in Object-Oriented Programming principles and best practices.
Demonstrated success building and launching data-driven products operating at terabyte scale.
Proven record of designing and implementing enterprise-level secure and accurate data platforms.
Practical experience with cloud-based databases, including both relational and non-relational systems.
Knowledge of business intelligence software such as Power BI or similar tools.
Understanding of AI technologies and hands-on experience leveraging AI tooling in development.
Hands-on experience or familiarity with big data platforms such as Databricks or Snowflake (preferred).
Proficiency with cloud platforms, including AWS or Azure (preferred).
Experience working with NoSQL databases and object storage systems (preferred).
Practical knowledge of event streaming technologies, especially Kafka (preferred).
Experience leveraging AWS compute and container services for scalable solutions (preferred).
Familiarity with large language models, prompt engineering, or agent-based architectures (preferred).