Senior Data Engineer

CoStar Group

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$128,000–$190,000 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $159k
$118k most similar roles pay here $221k

This role pays less than 60% of similar roles. Most pay $132,253–$211,200 — the shaded band above. At the midpoint, this role pays about $159k versus about $172k 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

Senior Data Engineer - Homes.com - Arlington, VA serves as a key member of the data team responsible for building sitewide tracking architecture and delivering user-friendly KPI dashboards to track product usage and consumer behavior. The role involves designing and maintaining automated data infrastructure, implementing Medallion Architecture, and developing scalable pipelines using Databricks, Snowflake, and AWS services. You will manage Spark jobs, integrate machine learning into data pipelines, and utilize AI tools like GitHub Copilot or Claude Code to enhance engineering productivity. Core technical requirements include proficiency in Python, PySpark, SQL, and Object-Oriented Programming. The position addresses the challenge of integrating disparate data sources into a cohesive model while ensuring data integrity through governance and lineage tracking within a high-scale real estate marketplace environment.

What does a Data Engineer earn in Virginia?

Median $211200 from 85 postings across 6 companies.

See salary data

What you'll do

  • Design and oversee dimensional modeling, database design, and cloud data platform structures using Databricks, Snowflake, or BigQuery.
  • Develop scalable data pipelines and ETL processes using Spark, Python, and SQL within an AWS environment.
  • Build and deploy AI/ML models integrated into data pipelines to drive predictive business insights.
  • Implement automated data infrastructure to streamline site tracking and provide analytics for product usage.
  • Integrate data from disparate sources through cross-domain stitching into existing data models.
  • Establish data governance, lineage tracking, and monitoring frameworks to ensure high data integrity and quality.
  • Automate the deployment and management of data pipelines using Terraform and CI/CD best practices.
  • 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 and launching data-driven products operating at terabyte scale.
  • Proven record of designing and implementing secure, accurate enterprise-level 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.
  • Experience with Databricks, Snowflake, AWS, NoSQL databases, or Kafka (preferred).

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