Senior Data Engineer

CoStar Group

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Diego, CA
Salary: $124,000–$190,000 / yr
Posted: 100 days ago
Freshness: Confirmed live 2 days ago
Closes: Sep 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k

This role $157k

$114k most similar roles pay here $222k

This role pays less than 67% of similar roles. Most pay $140,262–$211,200 — the shaded band above. At the midpoint, this role pays about $157k versus about $176k 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 65 open roles on FindRole.

Listed pay typically runs $133,000–$190,000 across 63 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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As a Senior Data Engineer, you will join the engineering team to design and deliver scalable data platforms that power high-volume, data-driven applications. You will be responsible for building reliable data pipelines, developing and optimizing ETL/ELT processes for complex datasets, and creating backend data services. The role involves designing efficient data models to ensure performance and reliability while collaborating with product and DevOps teams to deliver production systems. Your daily work involves utilizing Databricks, Spark, C#/.NET, and SQL for database design. You will also leverage AI-assisted coding tools like Claude Code to improve development efficiency. This position focuses on the technical challenge of managing large data systems within a real estate information and online marketplace domain, specifically addressing the need for scalable analytics and high-performance infrastructure.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

Skills

Databricks Apache Spark C# .NET SQL AWS ETL ELT Kafka Kinesis CI/CD DevOps Claude Code Streaming Technologies

What you'll do

Design, build, and maintain scalable data pipelines and platforms for high-volume applications.
Develop and optimize ETL/ELT processes for large and complex datasets.
Build and manage data solutions using Databricks and Spark.
Develop backend data services using C# and .NET.
Utilize AI-assisted coding tools like Claude Code to improve development efficiency.
Design efficient data models to ensure high performance and reliability across systems.
Ensure data quality, availability, and performance across all production systems.
Lead technical design decisions and mentor other engineers on the team.

What we're looking for

Bachelor's degree from an accredited, not-for-profit, in-person college or university.
5+ years of data engineering experience.
Experience building and scaling large data systems and high-volume data platforms.
Strong experience with data pipelines and ETL frameworks.
Experience with AWS-based data platforms and services.
Expertise with Databricks, Apache Spark, C# / .NET, and SQL/database design.
Familiarity with AI-assisted development tools like Claude Code or similar.
Experience with streaming technologies (e.g., Kafka, Kinesis) and CI/CD or DevOps practices.