Senior Database Engineer

CoStar Group

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$147,000–$190,000 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $158k
This role $168k
$111k most similar roles pay here $199k

This role pays more than 62% of similar roles. Most pay $126,800–$188,256 — the shaded band above. At the midpoint, this role pays about $168k versus about $158k 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 64 open roles on FindRole.

Listed pay typically runs $133,000–$193,000 across 63 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Database Engineer

The Senior Database Engineer joins the Enterprise Data Services - Finance team to build and modernize data platforms powering financial systems. This hands-on role involves designing data models, building high-volume ETL/ELT pipelines, and developing scalable data quality solutions for both established SQL Server environments and emerging cloud platforms. The engineer will manage complex financial datasets while ensuring accuracy, traceability, and performance through T-SQL tuning and infrastructure automation. Key responsibilities include implementing SOX and audit controls on financial pipelines and managing data lineage and observability. The technical stack includes SQL Server, Databricks, Snowflake, Kafka, NiFi, Airflow, Elasticsearch, and AWS. Candidates must possess advanced SQL skills along with proficiency in Python, Scala, or Java. This role addresses the challenge of processing large-scale financial data to support analytics, operational reporting, and new product features within a regulated environment.

What you'll do

  • Design and build data models, pipelines, and cloud architecture on Databricks, Snowflake, and AWS.
  • Develop high-volume ETL/ELT pipelines for analytics, operational reporting, and product features.
  • Tune SQL Server workloads including stored procedures, execution plans, and index strategies.
  • Integrate internal and external data sources into governed enterprise models.
  • Build frameworks for data quality, lineage, testing, monitoring, and observability.
  • Optimize processing, storage, and query costs across large financial datasets.
  • Apply SOX and audit controls to ensure compliance in financial data pipelines.
  • Automate data infrastructure and collection processes across various company products.

What we're looking for

  • Bachelor's degree from an accredited, not-for-profit institution is required.
  • A degree in Computer Science, Software Engineering, Information Systems, or a related technical field is preferred.
  • 5+ years of experience in data engineering, backend engineering, or software engineering for data-intensive systems.
  • Advanced SQL skills and strong programming proficiency in Python, Scala, or Java.
  • 3+ years of experience with relational platforms like SQL Server or PostgreSQL, including query and index tuning.
  • 2+ years of experience building production solutions on Databricks, Spark, or equivalent distributed processing platforms.
  • Experience with dimensional modeling, data warehouse design, architecture, ETL/ELT pipelines, and orchestration tools like Airflow or NiFi.
  • Experience with software engineering practices including version control, automated tests, CI/CD, and code review.

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