Full-Time

IT Analytics Engineer

Confirmed live in the last 24 hours

Corelogic

Corelogic

5,001-10,000 employees

Property data and analytics provider

Data & Analytics
Financial Services
Real Estate

Mid, Senior

Dallas, TX, USA

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Kubernetes
Python
Airflow
FastAPI
LangChain
Google Cloud Platform
Requirements
  • 3+ years of experience with a master’s degree or 5+ years of relevant experience in Software Engineering or ML/AI engineering.
  • Proficiency in Python, FastAPI, GCP, Cloud Architecture, KFP, Vertex AI, and Kubernetes.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Responsibilities
  • Design robust cloud solutions in GCP that will service the CoreLogic intelligence and data solutions
  • Develop and deploy models and services in managed Kubernetes Framework (Anthos)
  • Enhance and optimize the performance of containerized applications.
  • Develop and deploy batch predictions using Dataflow, KFP and Vertex AI
  • Develop and deploy GenAI models using LangChain
  • Demonstrate expertise in Agile methodologies, with a strong emphasis on backlog management and sprint planning to ensure efficient project progression and delivery.
  • Cross functional collaboration with other machine learning engineers and data scientists to drive requirements and create new models
  • Implement and maintain ongoing prediction pipelines using tools like kubernetes, Airflow, KFP, and Vertex AI.
  • Ensure best practices in ML engineering, including code quality, testing, and documentation.
  • Foster a culture of innovation, continuous learning, and knowledge sharing within the team.
  • Understand and champion Software Development Life Cycle (SDLC) as well as the Model Development Life Cycle (MDLC).
  • Level of Effort Estimation: Estimate the effort required for implementing machine learning features, enhancements, and bug fixes, considering factors such as complexity, data volume, and integration points. Collaborate with cross-functional teams to provide accurate and timely estimates.
  • Collaborate with data scientists to train, guide, and support processes to ensure security and address vulnerabilities.

CoreLogic provides property data and analytics to clients in the real estate and financial services sectors, including real estate agents, lenders, and insurance companies. The company collects and analyzes extensive property data, such as property values and market trends, to offer insights that help clients make informed decisions and manage risks. CoreLogic operates on a subscription-based model, allowing clients to access its data and analytics services, and also offers customized solutions tailored to specific client needs. What sets CoreLogic apart from competitors is its focus on integrated solutions that combine comprehensive data with analytics, enabling clients to enhance their operations and better serve their customers. The goal of CoreLogic is to empower stakeholders in the property market with accurate data and insights to improve decision-making and performance.

Company Stage

Acquired

Total Funding

$72.7M

Headquarters

Irvine, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

4%

1 year growth

-2%

2 year growth

10%
Simplify Jobs

Simplify's Take

What believers are saying

  • Strategic alliances, such as the one with Halcyon, enhance CoreLogic's service offerings and market reach, particularly in the mortgage industry.
  • The launch of innovative platforms like OneHomeowner demonstrates CoreLogic's commitment to evolving its product suite to meet market demands.
  • Recognition in industry awards and appointments of key personnel, like Josh Symons, highlight CoreLogic's leadership and influence in the real estate sector.

What critics are saying

  • The reliance on accurate and comprehensive property data means any data inaccuracies could significantly impact client trust and business operations.
  • The competitive landscape in property data and analytics is intense, with new entrants and technological advancements posing potential threats.

What makes Corelogic unique

  • CoreLogic's extensive property data and analytics capabilities provide a comprehensive view of the real estate market, setting it apart from competitors with less robust data offerings.
  • The company's subscription-based model ensures a steady revenue stream, allowing for continuous investment in data accuracy and technological advancements.
  • CoreLogic's ability to offer customized solutions and consulting services tailored to specific client needs enhances its value proposition in the property market.

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