Senior Data Engineer - Scalable Pipelines & ETL Systems

CoStar Group

Richmond (VA)

Hybrid

USD 133,000 - 172,000

Full time

3 hours ago
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Benefits offered by this job

Health insurance
401(k) plan
Paid time off
Flexible Fridays

Job summary

CoStar Group in Richmond, VA seeks a Senior Data Engineer to design, build, and scale data pipelines and data platforms, focusing on migrating and transforming external data for our enterprise contracting systems.

You will work with cross-functional teams, apply modern data warehousing practices, and contribute to data quality and governance while embracing AI-assisted development tools. This role offers in-office hours Monday-Thursday with Friday remote.

Qualifications

  • Bachelor's degree in a relevant field.
  • 5+ years of data engineering experience with technical direction.
  • Hands-on experience building batch and incremental ingestion pipelines from multiple sources.
  • Experience normalizing third-party schemas into enterprise models.
  • Advanced SQL and data modeling skills, plus Python/Scala/Java/C#/.NET.

Responsibilities

  • Design, build, and maintain scalable data pipelines and data platforms.
  • Develop and optimize ETL/ELT processes for large datasets.
  • Collaborate with engineering, product, DevOps and DBA teams to deliver production systems.
  • Mentor other engineers on the team.

Skills

SQL
Data modeling
Python
Scala
Java
C#/.NET
ETL/ELT
Airflow
CI/CD
Cloud data warehouse

Education

Bachelor's degree in Computer Science or related

Tools

Databricks
Snowflake
Airflow
Dagster
Azure Data Factory

Job description

CoStar Group in Richmond, VA seeks a Senior Data Engineer to design, build, and scale data pipelines and data platforms, focusing on migrating and transforming external data for our enterprise contracting systems.

You will work with cross-functional teams, apply modern data warehousing practices, and contribute to data quality and governance while embracing AI-assisted development tools. This role offers in-office hours Monday-Thursday with Friday remote.

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