Senior Data Engineer

CoStar Group

Hybrid

Quick summary

Work type: Hybrid
Location: San Diego, CA
Salary: $124,000–$190,000 / yr
Posted: 2 days ago
Closes: Sep 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $157k

$112k most similar roles pay here $237k

This role pays less than 67% of similar roles. Most pay $142,437–$217,725 — the shaded band above. At the midpoint, this role pays about $157k versus about $180k 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 19 open roles on FindRole.

Listed pay typically runs $124,000–$202,000 across 9 roles with salary data.

Most-posted roles

View all roles at CoStar Group

At a glance

TL;DR · Senior Data Engineer

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We are seeking a Senior Data Engineer to join our team in San Diego, CA, focusing on designing and delivering scalable data platforms that power high-volume, data-driven applications. This role involves building reliable data pipelines, developing ETL/ELT processes for complex datasets, and leveraging modern AI-assisted coding tools like Claude Code to enhance engineering efficiency. The ideal candidate will have expertise with Databricks and Apache Spark, experience in C#/.NET development, and a strong background in AWS-based data platforms. Responsibilities include collaborating with cross-functional teams to deliver production systems, ensuring data quality and performance, and mentoring other engineers. This position requires 5+ years of data engineering experience and familiarity with streaming technologies and CI/CD practices.

Skills

AWS Databricks Apache_Spark C .NET SQL ETL CI/CD Kafka Kinesis Claude_Code

What you'll do

Design and maintain scalable data pipelines and platforms.
Develop and optimize ETL/ELT processes for large datasets.
Build and manage data solutions using Databricks and Spark.
Accelerate development by leveraging AI-assisted coding tools like Claude Code.
Ensure high performance, reliability, and quality of backend data services.
Lead technical design decisions and mentor other engineers.

What we're looking for

5+ years of data engineering experience
Expertise in designing and maintaining scalable data pipelines and ETL processes
Proficiency with Databricks, Apache Spark, C#/.NET, and SQL/database design
Experience with AWS-based data platforms and AI/ML data pipelines
Familiarity with AI-assisted coding tools and streaming technologies

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