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Principal Data Engineer Jobs in Texas (NOW HIRING)

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 ...

Principal Data Privacy Architect Description - Job Summary - Role Purpose Lead and oversee complex ... The architect will partner closely with Data Engineering, Cybersecurity, Legal, Privacy, AI ...

Principal Data Privacy Architect Description - Job Summary - Role Purpose Lead and oversee complex ... The architect will partner closely with Data Engineering, Cybersecurity, Legal, Privacy, AI ...

Principal Data Architect Description - We are seeking a Data Engineering Architect who will lead both enterprise data platform architecture and data strategy to enable scalable AI/ML, telemetry ...

Principal Data Engineer- Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Our Data Solutions team is looking for a highly motivated Data Engineer responsible for designing, building, modernizing, and maintaining operational and analytical capability in the Wealthscape ...

Principal Data Engineer- Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Our Data Solutions team is looking for a highly motivated Data Engineer responsible for designing, building, modernizing, and maintaining operational and analytical capability in the Wealthscape ...

Showing results 21-40

Principal Data Engineer information

See Texas salary details

$68.9K

$137.2K

$198K

How much do principal data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for principal data engineer in Texas is $137,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $161,200.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a principal data engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

What is a principal data engineer?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What are the key skills and qualifications needed to thrive as a principal data engineer?

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

What are the most commonly searched types of Principal Data Engineer jobs in Texas? The most popular types of Principal Data Engineer jobs in Texas are:
What job categories do people searching Principal Data Engineer jobs in Texas look for? The top searched job categories for Principal Data Engineer jobs in Texas are:
What cities in Texas are hiring for Principal Data Engineer jobs? Cities in Texas with the most Principal Data Engineer job openings:
Infographic showing various Principal Data Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $137,158 per year, or $65.9 per hour.

Principal, Data Engineer

Cotality

Dallas, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday


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:

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.

2026-07-08

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 Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.

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