Senior Data Engineer
External
Ascent Developer · Encino, CAPrepare for this interview
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About 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: Snowflake Azure Data Factory Azure Data Lake PySpark Python SQL FastAPI React Databricks Azure Synapse Git / CI/CD REST APIs
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
- Must have experience: 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
Requirements
- 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.
Benefits
Additional Information
About Ascent Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.
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