Principal, Data Engineer

Cotality; Dallas (TX); On-site; USD 154,600 - 195,000; Full time

Benefits offered by this job

Generous PTO and holidays

Parental leave program

Competitive health coverage

401(k) with match

Job summary

Cotality seeks a senior Data Engineer to build scalable batch and streaming data pipelines on Google Cloud Platform. Lead architectural design leveraging Dataflow, BigQuery, Python, and graph databases like Neo4j/Spanner.

You will guide other teams, ensure reliable data capabilities, and drive enterprise-grade data solutions across Cotality. Ideal candidate has 7+ years in IT with strong data architecture experience, proficiency in SQL/NoSQL, and hands-on knowledge of Airflow and Beam.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• 7+ years IT experience with data architecture, data integration, and data quality improvements—preferably in mortgage/real estate/insurance domains.
• Deep understanding of data modeling techniques for technology optimization and architecture planning.
• Strong knowledge of full lifecycle of database, data warehouse, and data mart design and development.
• Proven experience in enterprise data architecture governance, standards, and strategy development.
• Ability to resolve complex enterprise-wide data architecture challenges.
• Experience designing data management solutions aligned with roadmaps and industry trends.
• Proficiency with SQL and NoSQL technologies.

Responsibilities

• Design and implement scalable, high-performance data solutions ensuring reliability and maintainability.
• Translate business requirements into architected technical solutions aligned with standards.
• Define and document solution architecture and requirements for business objectives.
• Provide technical leadership to engineering and support teams.
• Develop and present architecture artifacts to technical and non-technical stakeholders.
• Identify challenges and drive solution design through research and consensus.
• Offer architectural guidance to leadership for governance and strategy.
• Evaluate impact of new solutions on existing architecture and standards.
• Contribute to enterprise-wide technology initiatives and issue resolution.
• Participate in team ceremonies and project governance.

Skills

GCP data engineering

Python

PySpark

Dataflow

BigQuery

Airflow

Graph databases

SQL/NoSQL

Leadership

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Google Cloud Platform (GCP)

Dataflow

BigQuery

Neo4j

Google Spanner

Apache Airflow

Apache Beam

Hadoop/Spark

Job description

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people‑centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description

We are seeking a highly motivated and self‑driven Data Engineer with a strong background in building scalable batch and streaming data pipelines. The ideal candidate brings deep expertise in Google Cloud Platform (GCP), with hands‑on experience in Dataflow, BigQuery, Python, and graph databases such as Neo4j and Google Spanner. Familiarity with orchestration tools like Apache Airflow is essential. In this role, you will serve as a lead (anchor) engineer, driving the design and delivery of reusable, enterprise‑grade data capabilities leveraged across Cotality. You will play a key role in building robust, scalable, and efficient data processing frameworks that support a wide range of business applications and strategic initiatives.

Key Responsibilities

• Design and implement scalable, high‑performance data solutions using industry best practices and modern technologies, ensuring optimal integration, reliability, scalability, flexibility, and maintainability
• Translate business requirements and processes into well‑architected technical solutions, aligning with enterprise architecture standards and long‑term technology strategy
• Define and document solution architecture, technical designs, and requirements to support business objectives while balancing practical implementation and strategic vision
• Provide technical leadership and guidance to engineering and support teams, ensuring alignment with business and IT strategies
• Develop and present architecture and design artifacts to both technical and non‑technical stakeholders
• Proactively identify challenges, assess downstream impacts across business domains, and drive solution design through research, validation, and stakeholder consensus
• Apply industry and domain best practices, offering architectural guidance and strategic input to business and technology leadership
• Evaluate the impact of new solutions on existing architecture, ensuring compliance with enterprise standards and governance frameworks
• Contribute to enterprise‑wide technology initiatives and support critical issue resolution when needed
• Actively participate in team ceremonies, provide status updates, and support overall project governance and execution

Job Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent work experience)
• 7+ years of experience in IT, with strong expertise in data architecture, integrating and analyzing disparate data sources, and driving data quality improvements—preferably within the mortgage, real estate, or insurance domains
• Deep understanding of data modeling techniques to support technology optimization, data consolidation, and strategic architecture planning
• Strong knowledge of the full lifecycle of database, data warehouse, and data mart design and development
• Proven experience in enterprise data architecture, including governance, standards, and strategy development
• Demonstrated ability to resolve complex enterprise‑wide data architecture challenges
• Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging industry trends
• Proficiency with data modeling tools and strong experience across SQL and NoSQL technologies

Technical Skills & Experience

• Hands‑on experience with cloud platforms such as AWS and Google Cloud Platform (GCP)
• Strong programming skills in Python and PySpark
• Experience with AI development frameworks and lifecycle methodologies (e.g., BMAD, Spec Kit)
• Experience with big data and distributed processing technologies such as Hadoop, Spark, and Elasticsearch
• Working knowledge of modern data platforms, including graph databases (e.g., Neo4j, Google Spanner)
• Experience with data processing and orchestration tools such as Google Cloud Dataflow, Apache Beam, and Apache Airflow
• Ability to develop and document detailed technical designs and specifications

Leadership & Soft Skills

• Proven ability to mentor and guide engineering teams on architectural best practices and technical approaches
• Strong communication skills, with a collaborative mindset and interest in pair programming environments
• Ability to manage multiple projects and priorities in a fast‑paced environment
• Excellent organizational, time management, and problem‑solving skills
• Strong interpersonal and stakeholder management abilities
• Preferred Qualifications
• Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable

Annual Pay Range

154,600 - 195,000 USD

Application Window

This opportunity is expected to remain posted through the date identified below, subject to business needs.

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights, Depending On Role Classification, Include

• Time off: Generous PTO and 11 paid holidays, plus well‑being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well‑being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunity employer committed to attracting and retaining the best‑qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug‑Free Workplace.

Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.