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The Role: 

We are seeking a skilled and motivated Senior Data Engineer to join our growing real estate data and analytics team. In this role, you will be a key driver of our strategic migration from Databricks to Snowflake, building the scalable, cloud-native data infrastructure that powers property analytics, market intelligence, and business reporting.

The ideal candidate brings deep hands-on experience with Snowflake, Azure cloud services, PySpark, Python, and SQL, combined with a genuine understanding of real estate data - from property records and transaction data. You will work cross-functionally with data analysts, data scientists, and business stakeholders to ensure our data platforms are reliable, performant, and trusted across the organization.

Core technology stack: 

Key Responsibilities:

• Snowflake 4+ years of hands-on experience with
• Snowflake: expertise in data modeling, performance tuning, Snowpark, tasks, streams, and dynamic tables
• Databricks / PySpark: 2+ years working with Apache Spark for large-scale data processing
• Python: 4+ years building production-grade data engineering solutions
• SQL: strong proficiency in complex querying, performance tuning, and data warehouse design
• FastAPI: 2+ years building and deploying RESTful APIs with FastAPI or similar Python frameworks (Flask, Django REST); experience with async patterns, authentication, and API versioning
• React: 2+ year working knowledge of React for building internal data tools, dashboards, comfort with hooks, state management, and consuming REST APIs
• Azure Cloud: hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Azure Synapse
• Real Estate Domain: understanding of real estate data structures, MLS systems, property data, and related workflows
• Solid understanding of ETL/ELT processes, data modeling methodologies (Kimball, Data Vault), and performance tuning
• Experience with version control (Git) and CI/CD pipeline automation
• Demonstrated ability to work independently on complex, ambiguous migration, and modernization projects

Preferred Qualifications:

• Experience with Delta Lake, including migration patterns from Delta to Snowflake
• Knowledge of dbt (data build tool) for transformation workflows
• Familiarity with real estate data providers such as CoStar, ATTOM, CoreLogic, or Zillow APIs

The Pay

Salary range is $120,000-$130,000 with a discretionary bonus of up to 20% per year

The Work Environment

• This role works on-site from Ascent's Encino offices 2-3 days/week and remotely from southern California otherwise.
• Full-time, 40 hours per week; must be available for occasional overtime.
• Some nights and weekends required.