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Cotality

Provides property data insights for lenders

Principal Software Development Engineering

Data EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, or a related discipline, or equivalent professional experience.
  • Strong experience designing enterprise data architecture, data models, and scalable data-processing solutions.
  • Hands-on experience with Google Cloud Platform, particularly BigQuery and Dataflow.
  • Strong programming experience with Python and PySpark.
  • Experience with SQL and NoSQL technologies, including the full lifecycle of database, data warehouse, and data mart design.
  • Experience working with graph databases or graph-oriented data solutions, such as Neo4j or Google Spanner.
  • Experience with distributed data-processing and orchestration technologies such as Apache Beam and Apache Airflow.
  • Demonstrated ability to develop clear architecture documentation, technical designs, standards, and specifications.
  • Ability to independently lead a complex technical workstream from design through delivery.
  • Strong communication and stakeholder-management skills.
  • Ability to translate business needs into practical, well-architected technical solutions.
  • Comfortable collaborating with other principal engineers to establish reusable patterns and consistent technology practices.
  • Strong organizational, prioritization, and problem-solving skills in a fast-paced engineering environment.

Responsibilities

  • Design scalable data models and processing frameworks that support batch, streaming, API, analytics, and enterprise data use cases.
  • Establish data architecture standards and support broader data governance and information strategy.
  • Develop conceptual, logical, and physical data models that define how data is stored, processed, accessed, and integrated.
  • Define and document solution architecture, technical designs, requirements, and implementation approaches.
  • Lead an assigned engineering workstream while collaborating with other principal engineers on architecture, design, and technology best practices.
  • Provide technical leadership and guidance to engineering and support teams.
  • Help resolve complex data architecture and production issues across enterprise systems.
  • Support enterprise technology initiatives involving data warehouses, data lakes, data marts, and data mesh architectures.

Desired Qualifications

  • Experience with both Google Cloud Platform and AWS.
  • Experience designing or supporting batch and streaming data pipelines.
  • Knowledge of enterprise data governance, architecture standards, and technology strategy.
  • Experience with modern data architecture concepts, including data lakes and data mesh.
  • Exposure to AI development frameworks or lifecycle methodologies such as BMAD or Spec Kit.
  • Experience mentoring engineers and guiding teams on architectural practices and technical approaches.

About the Company

Cotality

Provides property data insights for lenders

Cotality provides property data insights to support lenders, real estate, and financial clients in making smarter property decisions. Its main product use is smart mapping that keeps surveyors aligned with client requirements and generates accurate, lender-compliant reports. The service combines market research, climate resilience data, and risk signals to help users identify opportunities and reduce risks, while training resources like webinars and video guides help clients understand market dynamics and pricing. Cotality differentiates itself by delivering data-driven, lender-focused reporting and practical tools to improve productivity, streamline operations, and address issues like insurance fraud, rather than relying on generic data. The goal is to help clients price, value, and decide on property opportunities more confidently and efficiently.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Irvine, CA
Founded
Not listed

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