Senior Data Engineer

CoStar Group

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Arlington, VA
Salary
$128,000–$190,000 / yr
Employment
Full-time
Posted
67 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $159k
$107k $210k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $126,800–$200,000 — the blue band above. At the midpoint, this role pays about $159k 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 Homes.com team to build out sitewide tracking architecture and feed data into KPI dashboards that track site performance and consumer behavior. This role involves designing and overseeing dimensional modeling, database design, and cloud data platform structures using Databricks, Snowflake, and BigQuery. You will develop scalable data pipelines and ETL processes, implement Spark jobs, and integrate machine learning models into pipelines using Databricks ML and AWS ML. Key responsibilities include managing automated data infrastructure, ensuring data governance, and optimizing query performance. Required skills include proficiency in Python, PySpark, SQL, and Object-Oriented Programming. You will also utilize AI tools like GitHub Copilot and Claude Code to solve complex engineering challenges within a real estate marketplace environment.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

What you'll do

  • Design and oversee dimensional modeling, database design, and cloud data platform structures.
  • Develop scalable data pipelines and ETL processes using Databricks, Snowflake, and AWS services.
  • Build and deploy AI/ML models integrated into data pipelines to drive business insights.
  • Implement data governance, lineage tracking, testing, and monitoring frameworks to ensure data integrity.
  • Automate the deployment and management of data pipelines and infrastructure using AWS DevOps and CI/CD best practices.
  • Optimize Spark jobs, data transformations, and query performance for high-scale data processing.
  • Translate complex data domains into structured transformations to meet specific business needs.
  • 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/university.
  • 6+ years of hands-on experience in software development delivering high-quality solutions.
  • Proficiency in Python, PySpark, and SQL with a strong foundation in Object-Oriented Programming.
  • Demonstrated success building and launching data-driven products operating at terabyte scale.
  • Proven record of designing and implementing secure, accurate enterprise-level data platforms.
  • Practical experience with cloud-based relational and non-relational databases.
  • Understanding of AI technologies and hands-on experience leveraging AI tooling in development.
  • Knowledge of business intelligence software such as Power BI (preferred).

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