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# Senior Data Engineer

- **Company:** Ascent, LLC
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, User Authentication, Microsoft Azure, Big Data, Continuous Integration, Extract Transform Load (ETL), Data Structures, Data Vault Modeling, Data Warehousing, Django Web Framework, Python (Programming Language), Performance Tuning, Cloud Services, Azure Data Lake, SQL Databases, Transaction Data, Management of Software Versions, Web Application Frameworks, Azure Data Factory, ReactJS, Flask (Web Framework), Snowflake, Data Build Tool (dbt), Apache Spark, Git, Fastapi, Data Lakes, Pyspark, Data Management, Restful APIs, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b5196076aab88a07

## About the Role

Do you have experience in Version control?, Databricks

Azure Synapse

Git / CI/CD

REST APIs

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

## Description

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.


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