Senior Data Engineer

Richmond, VA, US • Posted 1 day ago • Updated 5 hours ago
Full Time
On-site
USD $133,000.00 - 172,000.00 per year
Fitment

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Job Details

Skills

  • Data Analysis
  • Value Engineering
  • Innovation
  • Team Building
  • FOCUS
  • Data Migration
  • Finance
  • Acquisition
  • Billing
  • Payments
  • Extract
  • Transform
  • Load
  • ELT
  • Collaboration
  • DevOps
  • Database Administration
  • Technical Drafting
  • Mentorship
  • Data Engineering
  • Technical Direction
  • GraphQL
  • Flat File
  • SFTP
  • Database
  • Change Data Capture
  • Mapping
  • Data Deduplication
  • Data Modeling
  • Star Schema
  • Python
  • Scala
  • Java
  • Data Warehouse
  • Snow Flake Schema
  • Orchestration
  • Version Control
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Databricks
  • SQL
  • Apache HTTP Server
  • Replication
  • DMS
  • Real-time
  • Apache Kafka
  • Amazon Kinesis
  • Apache Spark
  • Streaming
  • Apache Flink
  • Data Quality
  • SODA
  • Monte Carlo Method
  • Unity
  • Master Data Management
  • Geospatial Analysis
  • Amazon Web Services
  • Amazon S3
  • Electronic Health Record (EHR)
  • Step-Functions
  • Amazon Redshift
  • Terraform
  • C#
  • .NET
  • Machine Learning (ML)
  • Artificial Intelligence
  • Workflow
  • Root Cause Analysis
  • Health Care
  • Legal
  • Insurance
  • Training
  • Testing

Summary

Senior Data Engineer

Job Description

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

Role Description:

We are seeking a Senior Data Engineer to join a new team building our next generation of data warehousing pipelines and ecosystem in the finance tech organization. Initially this role will focus on building a data migration and transformation process for external systems for use in our enterprise contracting system. This will include receiving data from multiple data sources of varying format, frequency and type. You will create applications to process it in a repeatable, customizable and recurring state to simplify the conversion process of our financial data across systems and acquisitions both today and in the future. You will also help standardize our data environment across our billing systems to allow for greater visibility into patterns, errors and optimizations to our business, consisting of billions of dollars of payments a year.

This position is in Richmond, VA and has a work schedule of Monday through Thursday in office and Friday work from home.

Responsibilities:
  • Design, build, and maintain scalable data pipelines and data platforms
  • Develop and optimize ETL/ELT processes for large, complex datasets
  • Collaborate with engineering, product, DevOps and DBA teams to deliver production systems
  • Contribute to technical design decisions and mentor other engineers on the team

Basic Qualifications:
  • Bachelor's degree required from an accredited, not-for-profit, in-person college/university
  • Track record of commitment to prior employers
  • 5+ years of data engineering experience, including experience setting technical direction on projects and influencing design across a team
  • Hands-on experience building batch and incremental ingestion pipelines from multiple heterogeneous external sources (REST/GraphQL APIs, flat-file and SFTP feeds, third-party data vendors, and database replication/CDC)
  • Demonstrated experience normalizing inconsistent third-party schemas into standardized enterprise data models, including source-to-target mapping, deduplication, and entity resolution
  • Advanced SQL and strong data modeling skills (dimensional/star schema, normalized, or Data Vault), plus proficiency in Python, Scala, Java, or C#/.NET
  • Production experience with a distributed processing engine and a cloud data warehouse or lakehouse platform (e.g., Databricks/Spark, Snowflake, BigQuery, Redshift, Synapse/Fabric), including pipeline orchestration tooling (e.g., Airflow, Dagster, Databricks Workflows, Azure Data Factory)
  • Experience implementing data quality, validation, and reconciliation controls for externally sourced data, with version control and CI/CD in a major cloud environment (AWS, Azure, or Google Cloud Platform)
  • Experience with agentic engineering with AI-assisted development tools (Claude Code or similar) to accelerate software delivery

Preferred Qualifications:
  • Production-scale expertise with Databricks (Delta Lake, Unity Catalog, Delta Live Tables / declarative pipelines, Databricks SQL, Workflows) or an equivalent lakehouse platform, including open table formats (Delta Lake, Apache Iceberg, Apache Hudi)
  • Experience with a modular transformation framework and tested, version-controlled models (dbt, SQLMesh, or equivalent)
  • Experience with managed ingestion and replication tooling (Fivetran, Airbyte, Qlik Replicate, AWS DMS, Debezium, Kafka Connect) and streaming or near-real-time ingestion (Kafka, Kinesis, Spark Structured Streaming, Flink)
  • Data quality and observability frameworks (Great Expectations, Soda, dbt tests, Monte Carlo) and data cataloging, lineage, and governance tooling (Unity Catalog, AWS Glue Data Catalog, Collibra, Alation)
  • Master data management, entity resolution, or record-linkage tooling, including address and geospatial standardization
  • AWS data services (S3, Glue, EMR, Lambda, Step Functions, Redshift), Terraform, and backend data services in C# / .NET
  • AI/ML and feature-engineering pipelines and ability to apply AI assist or agentic workflows for code generation, review and root-cause analysis

What's in it for you?

When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, and tuition reimbursement.

Our benefits package includes (but is not limited to):
  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group's Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

The final salary or hourly rate offered for this role will fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.

Base Compensation: $133,000 - $172,000 annually.

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.

#LI-CH1

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10100023
  • Position Id: 2233edfd3e250abb4b999bbabcb95680
  • Posted 1 day ago
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