Pay
In line with similar jobs
$103K–$153K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Irvine, CA, US
Live, first seen by us 35 days agovariety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: $103,000-$153,000 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
Design and maintain scalable data pipelines and ETL processes in Databricks, Snowflake and AWS
Build secure data warehouses and lakehouses using Medallion Architecture
Implement and optimize Spark jobs and data transformations
Build sitewide tracking that feeds KPI dashboards on site performance and consumer behavior
Mentor and manage engineers and analysts
Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Snowflake, and other AWS services
Develop data platform framework to build secure data warehouses and data lakehouses applying principles of Medallion Architecture
Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks
helping build out sitewide tracking architecture on Apartments.com and then feeding that data into user-friendly KPI dashboards
Mentor and manage engineers and analysts in the normal execution of their responsibilities.
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In line with similar jobs
$103K–$153K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 35
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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Open jobs by the week we first saw them, last 12 weeks.
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Basic Qualifications * Bachelor's degree required from an accredited, not-for-profit, in-person college/university * A track record of commitment to prior employers * 3+ years of hands-on experience in software development, delivering high-quality solutions * Strength in Data Engineering, with strong proficiency in Python, PySpark, and SQL * Solid foundation in Object-Oriented Programming principles and best practices * Demonstrated success in building and launching data-driven products operating at terabyte scale * Proven record of designing and implementing Enterprise Level secure, and accurate Data platform * Ability to translate technical requirements into robust architecture, data models, and ETL strategies * Practical experience with cloud-based databases, including both relational and non-relational systems * Knowledge of business intelligence software (i.e. Power BI or similar tools) * Understanding of AI technologies and hands-on experience leveraging AI tooling in development (Claude Code, GitHub Copilot, Cursor, Gemini, Grok) * Ability to retrieve, synthesize, and present critical data in structures that is immediately useful to answering specific ad-hoc questions * Hands-on data experience on optimization, data quality checks, data accuracy and query performance improvement Preferred Qualifications
Responsibilities * Design and Oversee implementation of dimensional modeling, database design, and cloud data platform structures (e.g., Databricks, Snowflake, BigQuery) * Develop data platform framework to build secure data warehouses and data lakehouses applying principles of Medallion Architecture * Design, develop, and maintain scalable data pipelines and ETL processes using Databricks, Snowflake, and other AWS services * Implement and optimize Spark jobs, data transformations, and data processing workflows in Databricks * Building and deploying AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and AWS ML to develop predictive models and drive business insights * Define and Apply AI-assisted software development practices to improve engineering productivity and code quality * Understand various data domains and be able to translate them through data transformations to suit various business needs * Oversee automated data infrastructure: Collaborate with software engineering and product teams to streamline data tracking in our products * Ability to integrate data from disparate sources via cross domain data stitch into existing data model * Implement data governance, lineage tracking, testing, and monitoring frameworks to guarantee data integrity * Hands-on data optimization and query performance * Liaise with key company teams (DBA, DevOps, SecOps…) for data accessibility and analysis * Mentor and manage engineers and analysts in the normal execution of their responsibilities. * Successfully implement software development projects to specification and within scheduled timelines and budget parameters * Leverage AWS DevOps and CI/CD best practices to automate the deployment, through terraform, and management of data pipelines and infrastructure. Basic Qualifications
Preferred Qualifications * Hands-on experience or familiarity with big data platforms such as Databricks or Snowflake * Proficiency with cloud platforms, including AWS or Azure * Experience working with NoSQL databases (e.g., DynamoDB) and object storage systems (e.g., Amazon S3, GCS, etc.) * Practical knowledge of event streaming technologies, especially Kafka * Experience leveraging AWS compute and container services for scalable solutions * Familiarity with large language models (LLMs), prompt engineering, or agent-based architectures * Great analytical and problem-solving skills, with the ability to tackle complex technical challenges * Strong Ability to understand technical challenges and complex designs, and communicate into simple business ideas, or solutions with senior management/stakeholders What's In It For You?
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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.
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variety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: $103,000-$153,000 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.
Irvine, CA, 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 Diversity, Equity, & Inclusion 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
Base Compensation: $103,000-$153,000 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-AV1
Base Compensation: $103,000-$153,000 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-AV1