Senior Data Engineer, Debt Solutions

CoStar Group

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $146,000–$190,000 / yr
Posted: 12 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k

This role $168k

$119k most similar roles pay here $217k

This role pays more than 50% of similar roles. Most pay $139,192–$200,375 — the shaded band above. At the midpoint, this role pays about $168k versus about $170k 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 $134,500–$191,500 across 64 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, Debt Solutions

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Senior Data Engineer - Debt Solutions joins the Debt Solutions team to build sitewide tracking architecture and develop data engineering infrastructure for product analysis. This role involves designing dimensional models, building secure data lakehouses using Medallion Architecture, and developing scalable pipelines and ETL processes. The engineer will integrate machine learning into data pipelines, optimize Spark jobs, and manage automated data infrastructure to provide insights into consumer behavior. Key technologies include Python, PySpark, SQL, Databricks, Snowflake, BigQuery, and AWS services like S3 and DynamoDB. The role also requires experience with Terraform for CI/CD, Kafka for event streaming, and AI-assisted development tools like GitHub Copilot or Claude Code. The position focuses on solving complex data integration challenges from disparate sources to provide actionable analytics across various business domains within the debt solutions product area.

What does a Data Engineer earn in California?

Median $193550 from 38 postings across 18 companies.

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Skills

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

What you'll do

Design and implement dimensional modeling, database designs, and cloud data platform structures using Databricks, Snowflake, or BigQuery.
Build and maintain scalable data pipelines and ETL processes using Spark, Python, and PySpark.
Develop secure data warehouse and lakehouse architectures following Medallion Architecture principles.
Integrate machine learning models into data pipelines to provide predictive insights and business analytics.
Automate the deployment of data infrastructure and pipelines using AWS DevOps, CI/CD, and Terraform.
Implement data governance, lineage tracking, and monitoring frameworks to ensure data integrity and quality.
Optimize query performance and manage large-scale data processing for terabyte-level datasets.
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 or university.
6+ years of hands-on experience in software development delivering high-quality solutions.
Proficiency in Python, PySpark, and SQL with a solid foundation in Object-Oriented Programming principles.
Experience building data-driven products at terabyte scale and designing enterprise-level secure data platforms.
Ability to translate technical requirements into robust architecture, data models, and ETL strategies.
Knowledge of business intelligence software such as Power BI or similar tools.
Understanding of AI technologies and experience using AI tooling in development (preferred).
Experience with Databricks, Snowflake, AWS/Azure, NoSQL databases, or Kafka (preferred).