Senior Data Engineer

Ascent Developer Solutions•Los Angeles, CA

13d•$120,000 - $130,000•Hybrid

About The Position

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. 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.

Requirements

Snowflake 4+ years of hands-on experience
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

Nice To Haves

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

Responsibilities

Snowflake: expertise in data modeling, performance tuning, Snowpark, tasks, streams, and dynamic tables
Databricks / PySpark: working with Apache Spark for large-scale data processing
Python: building production-grade data engineering solutions
SQL: strong proficiency in complex querying, performance tuning, and data warehouse design
FastAPI: building and deploying RESTful APIs with FastAPI or similar Python frameworks (Flask, Django REST); experience with async patterns, authentication, and API versioning
React: 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