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# Senior Data Engineer

- **Company:** CoStar Realty Information Inc.
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Big Data, C Sharp (Programming Language), Continuous Integration, Data as a Services, Information Engineering, Extract Transform Load (ETL), Data Systems, Database Design, DevOps, SQL Databases, Claude Code, Apache Spark, Backend, Apache Kafka, Data Management, Video Streaming, Data Pipelines, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.beyondsandiego.com/job.asp?id=3467850043&tx=JL1913FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree required from an accredited, not-for-profit, in-person college/university
 * A track record of commitment to prior employers.
 * 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

Preferred Qualifications:

 * Expertise with Databricks / Apache Spark, C# / .NET, and SQL/database design
 * Experience with AI/ML data pipelines
 * Familiarity with AI-assisted development tools (Claude Code or similar)
 * Experience with streaming technologies (e.g., Kafka, Kinesis)
 * Knowledge of CI/CD and DevOps practices

## Description

* 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# / .NET
 * Leverage AI-assisted coding tools (e.g., Claude Code) to accelerate development
 * Design efficient data models and ensure high performance and reliability
 * Collaborate with engineering, product, and DevOps teams to deliver production systems
 * Ensure data quality, availability, and performance across systems
 * Lead technical design decisions and mentor other engineers