Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Richmond, VA, US
Live, first seen by us 75 days agoThe 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.Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply
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.
This position is in Richmond, VA and has a work schedule of Monday through Thursday in office and Friday work from home.
Design, build, and maintain scalable data pipelines and data platforms
Develop and optimize ETL/ELT processes for large, complex datasets
Build repeatable applications that process external financial data feeds
Contribute to technical design decisions and mentor other engineers
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.
Design, build, and maintain scalable data pipelines and data platforms
Develop and optimize ETL/ELT processes for large, complex datasets
You will create applications to process it in a repeatable, customizable and recurring state
Contribute to technical design decisions and mentor other engineers on the team
5+ years of data engineering experience
Bachelor's degree required from an accredited, not-for-profit, in-person college/university
Hands-on experience building batch and incremental ingestion pipelines from multiple heterogeneous external sources
Advanced SQL and strong data modeling skills
proficiency in Python, Scala, Java, or C#/.NET
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 75
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
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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 GCP) * Experience with agentic engineering with AI-assisted development tools (Claude Code or similar) to accelerate software delivery Preferred Qualifications:
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?
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Yes. We’ve followed one other Senior Data Engineer job there since June 2026. It is still up.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Richmond, VA, US
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
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