Senior Data Engineer

CoStar Group

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Diego, CA
Salary
$124,000–$190,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $157k
$107k $210k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $126,800–$200,000 — the blue band above. At the midpoint, this role pays about $157k versus about $163k 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.

Most-posted roles

View all roles at CoStar Group

At a glance

TL;DR · Senior Data Engineer

The Senior Data Engineer will join the engineering team to design and deliver scalable data platforms that power high-volume, data-driven applications. The primary responsibilities include building and maintaining reliable data pipelines, developing and optimizing ETL/ELT processes for complex datasets, and designing efficient data models to ensure high performance and reliability. The successful candidate will develop backend data services and manage data solutions using Databricks, Spark, C# / .NET, and SQL. The role requires leveraging AI-assisted coding tools like Claude Code to improve engineering efficiency. Technical requirements include experience with AWS-based data platforms, streaming technologies such as Kafka or Kinesis, and CI/CD practices. This position solves the technical challenge of enabling analytics at scale within a commercial and residential real estate information environment.

What does a Data Engineer earn in California?

Median $187700 from 43 postings across 22 companies.

See salary data

What you'll do

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

What we're looking for

  • Bachelor's degree from an accredited, not-for-profit, in-person college/university.
  • 5+ years of data engineering experience.
  • Strong experience with data pipelines and ETL frameworks.
  • Experience building and scaling large data systems.
  • Experience with AWS-based data platforms and services.
  • Expertise with Databricks / Apache Spark, C# / .NET, and SQL/database design (preferred).
  • Experience with AI/ML data pipelines (preferred).
  • Familiarity with AI-assisted development tools like Claude Code (preferred).

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