Data Engineer

CoStar Group
Richmond, VA, United States
1 day ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$133,000.0 - $172,000.0
Working hours
Regular working hours
Job source

Tech stack

Sql Data Warehouse Java (Programming Language) .NET Framework Artificial Intelligence Airflow Amazon Web Services Amazon S3 Apache HTTP Server Microsoft Azure Big Data BigQuery C Sharp (Programming Language)
+43 more
Code Generation Continuous Integration Data as a Services Data Deduplication Information Engineering Extract Transform Load (ETL) Data Mapping Data Migration Data Vault Modeling Data Warehousing DevOps Distributed Computing Environment Python (Programming Language) Scala (Programming Language) Data Streaming Google Cloud File Transfer Protocol (FTP) Feature Engineering Data Ingestion Azure Data Factory Sql Optimization Snowflake Apache Spark Backend Data Lakes Debezium Collibra Apache Flink AWS Glue Qlikview Star Schema AWS Data Analytics Apache Kafka Graphql Spark Streaming Data Management Database Replication Terraform Azure Synapse Analytics Software Version Control Data Pipelines Amazon Redshift Databricks

Job 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

Requirements

  • 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, * 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

Benefits & conditions

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.

About the company

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’sreal 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 perfectedour 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:52 min

Generating APIs with the Neo4j GraphQL library

William Lyon · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

See all

Related articles

See all