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Corelogic Jobs in California (NOW HIRING)

CoreLogic Spatial Solutions, LLC (dba Cotality) - 40 Pacifica, Suite 900, Irvine, CA 92618. *Work from home permitted. Job Qualifications: EDUCATION AND EXPERIENCE REQUIREMENTS: * Bachelor's degree ...

CoreLogic Spatial Solutions, LLC (dba Cotality) - 40 Pacifica, Suite 900, Irvine, CA 92618. *Work from home permitted. Job Qualifications: EDUCATION AND EXPERIENCE REQUIREMENTS: * Bachelor's degree ...

Corelogic information

See California salary details

$37K

$56.1K

$82.9K

How much do corelogic jobs pay per year?

As of Jul 13, 2026, the average yearly pay for corelogic in California is $56,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $55,800.00 per year, depending on experience, location, and employer.

Is CoreLogic a good company to work for?

CoreLogic is a well-established company in the data and analytics industry, offering roles in areas such as data analysis, software development, and client support. Employee reviews often cite a collaborative environment and opportunities for professional growth, though experiences can vary by department and location.

What types of projects or clients do CoreLogic analysts typically work with, and how does this influence the daily workflow?

CoreLogic analysts often work on projects involving real estate data, property valuation, risk assessment, and market trend analysis for clients in sectors such as banking, insurance, and government. The diversity of clients means analysts frequently shift between tasks like data cleansing, report generation, and client presentations, often collaborating closely with data scientists, engineers, and account managers. This dynamic environment encourages continuous learning and adaptability, making the daily workflow varied and engaging.

What profession makes $300,000 a year?

Professions such as senior software engineers, anesthesiologists, corporate lawyers, and investment bankers often earn $300,000 or more annually. These roles typically require advanced education, specialized skills, and significant experience in their fields.

What is CoreLogic and what does the company do?

CoreLogic is a leading provider of property information, analytics, and data-enabled solutions. The company offers services primarily to real estate professionals, mortgage lenders, insurance companies, and government agencies. CoreLogic's data and analytics help clients assess property risk, value properties, prevent mortgage fraud, and make informed business decisions. Their products are widely used in the real estate, financial, and insurance industries to facilitate transactions and manage risk.

What does CoreLogic company do?

CoreLogic is a data and analytics company that provides property, mortgage, and consumer information to real estate, financial, and insurance industries. It offers tools and insights to help clients assess risk, make informed decisions, and improve operational efficiency. Employees working there often use data analysis, software, and industry-specific knowledge in their roles.

What are the key skills and qualifications needed to thrive as a Data Analyst at CoreLogic, and why are they important?

To thrive as a Data Analyst at CoreLogic, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), SQL databases, and statistical software such as SAS or Python is typically required. Attention to detail, effective communication, and critical thinking are crucial soft skills for presenting insights and collaborating with stakeholders. These competencies enable accurate analysis and actionable recommendations, driving better business decisions in the real estate and property data industry.

What jobs do logicians have?

Logicians typically work as researchers, philosophers, or computer scientists, applying formal reasoning, logic, and critical thinking skills. They may be employed in academia, technology companies, or think tanks, often requiring strong analytical skills and knowledge of formal systems or programming languages. These roles involve analyzing complex problems, developing algorithms, or contributing to theoretical foundations in various fields.
What are the most commonly searched types of Corelogic jobs in California? The most popular types of Corelogic jobs in California are:
What job categories do people searching Corelogic jobs in California look for? The top searched job categories for Corelogic jobs in California are:
What cities in California are hiring for Corelogic jobs? Cities in California with the most Corelogic job openings:
Infographic showing various Corelogic job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $56,135 per year, or $27 per hour.

Senior Data Engineer

Ascent Developer Solutions

Los Angeles, CA • Hybrid

$120K - $130K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

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

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
  • 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

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.