Senior Data Engineer

CoStar Group

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Hybrid

Quick summary

Work type: Hybrid
Location: Richmond, VA
Salary: $133,000–$172,000 / yr
Employment: Full-time
Posted: 68 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k

This role $152k

$110k $212k

below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $126,800–$202,120 — the blue band above. At the midpoint, this role pays about $152k versus about $164k 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.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer will join the finance tech organization to build next-generation data warehousing pipelines and ecosystems. This role focuses on developing data migration and transformation processes for external systems used in an enterprise contracting system. You will build applications to process data from multiple sources of varying formats and frequencies into a repeatable, customizable state to simplify financial data conversion across systems and acquisitions. Key responsibilities include designing scalable pipelines, optimizing ETL/ELT processes, and standardizing data environments for billing systems. Required skills include advanced SQL, data modeling, and proficiency in Python, Scala, Java, or C#/.NET. You will utilize distributed processing engines, cloud data warehouses like Databricks or Snowflake, and orchestration tools like Airflow. Experience with REST/GraphQL APIs, CDC, and CI/CD in AWS, Azure, or GCP is essential.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

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Skills

Python SQL Scala Java C#/.NET Databricks Spark Snowflake BigQuery Redshift Airflow dbt AWS Azure GCP Terraform Kafka Flink Delta Lake Apache Iceberg Apache Hudi CI/CD REST GraphQL CDC Fivetran Airbyte Great Expectations Unity Catalog

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 data migration and transformation processes for external systems into the enterprise contracting system.
Create applications to process data in a repeatable, customizable, and recurring state.
Standardize data environments across billing systems to improve visibility into patterns and errors.
Normalize inconsistent third-party schemas into standardized enterprise data models.
Implement data quality, validation, and reconciliation controls for externally sourced data.
Contribute to technical design decisions and mentor other engineers on the team.

What we're looking for

Bachelor's degree from an accredited, not-for-profit, in-person college/university.
5+ years of data engineering experience, including experience setting technical direction and influencing design.
Hands-on experience building batch and incremental ingestion pipelines from heterogeneous sources like REST/GraphQL APIs, flat-files, and SFTP.
Demonstrated experience normalizing inconsistent third-party schemas into standardized enterprise data models with source-to-target mapping.
Advanced SQL and data modeling skills plus proficiency in Python, Scala, Java, or C#/.NET.
Production experience with a distributed processing engine, cloud data warehouse, and pipeline orchestration tooling.
Experience implementing data quality, validation, and reconciliation controls with version control and CI/CD in a major cloud environment.
Experience with agentic engineering using AI-assisted development tools to accelerate software delivery.