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Principal Data Engineer Jobs in Texas (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in ...

Vistra Corp

Principal Data Engineer

Irving, TX · On-site

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Vistra Energy

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Vst

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

TXU Energy

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Vistra Corp.

Principal Data Engineer

Irving, TX · On-site

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Luminant

Principal Data Engineer

Irving, TX · Hybrid

As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval.

Fidelity Investments

Principal Data Engineer

Westlake, TX

$129K - $173K/yr

... Principal Data Engineer (or closely related occupation) building and supporting scalable data warehousing and reporting platforms in a financial services environment. Or, alternatively, Master ...

Fidelity Investments

Principal Data Engineer

Westlake, TX · On-site

$129K - $173K/yr

... Principal Data Engineer (or closely related occupation) building and supporting scalable data warehousing and reporting platforms in a financial services environment. Or, alternatively, Master ...

News Corporation

Principal Data Engineer

Austin, TX · On-site

$120 - $160/hr

We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and lead our technical strategy, a role critical to driving the next phase of growth and innovation ...

New

Fidelity Investments

Principal Data Engineer

Westlake, TX · On-site +1

$109K - $132K/yr

... Principal Data Engineer (or closely related occupation) performing data analysis, solution design, and development for Data Lake, ETL, Reporting and Analytic processes. Or, alternatively, Master ...

Realtor.com Careers

Principal Data Engineer

Austin, TX · On-site

We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and lead our technical strategy, a role critical to driving the next phase of growth and innovation ...

Genesis10

Principal Data Engineer - Hybrid

Plano, TX · On-site

$150K - $190K/yr

Genesis10 is currently seeking a Principal Data Engineer for a hybrid position with a Global Inventory and Data Services Company located in Dallas, TX. This is a direct hire opportunity. Pay range ...

Realtor.com Careers

Principal Data Engineer

Austin, TX · On-site

We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and lead our technical strategy, a role critical to driving the next phase of growth and innovation ...

Genesis10

Principal Data Engineer - Hybrid

Plano, TX · On-site

$150K - $190K/yr

Genesis10 is currently seeking a Principal Data Engineer for a hybrid position with a Global Inventory and Data Services Company located in Dallas, TX. This is a direct hire opportunity. Pay range ...

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Showing results 1-20

All JobsPrincipal Data Engineer JobsPrincipal Data Engineer Jobs in Texas

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 7, 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 are popular job titles related to Principal Data Engineer jobs in Texas? For Principal Data Engineer jobs in Texas, the most frequently searched job titles 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:
Principal Data Engineer jobs near you
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

NAVA Software Solutions

Houston, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 22 days ago

Job description

NAVA Software solutions is looking for a Principal Data Engineer
Details:
Principal Data Engineer
Location: Houston, TX - 4 days/week onsite
Duration: Full time / Direct Hire
The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and managing robust, scalable data platforms. This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. You will guide other team members and collaborate closely with cross-functional teams to design and implement modern data solutions that enable data-driven decision-making across the organization.
As a Principal Data Engineer you will:
  • Collaborate with Business, and IT functional experts to gather requirements or issues, perform gap analysis and recommend/implement process and/or technology improvements to optimize data solutions.
  • Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to support the data science and analytical needs of the organization.
  • Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Databricks, Apache Spark, Kafka, Flink, AWS Glue or other AWS services.
  • Work within cloud environments like AWS to leverage services including but not limited to EC2, RDS, S3, Athena, Glue, Lambda, EMR, Kinesis, and SQS for efficient data handling and processing.
  • Develop and optimize data models and storage solutions (SQL, NoSQL, Key-Value DBs, Data Lakes) to support operational and analytical applications, ensuring data quality and accessibility.
  • Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
  • Implement pipelines with a high degree of automation for data workflows and deployment pipelines using tools like Apache Airflow, Terraform, and CI/CD frameworks.
  • Collaborate closely with business analysts, data scientists, machine learning engineers, and optimization engineers, providing the data infrastructure and tools needed for complex analytical models, leveraging Python, scala or R for data processing scripts.
  • Ensure compliance with data governance, compliance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
  • Establish best practices for code documentation, testing, and version control, ensuring consistent and reproductive data engineering practices across the team.
  • Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput.
  • Ensure efficient usage of AWS and Databricks resources to minimize costs while maintaining high performance and scalability.
  • Cross functional work understanding data landscape, developing proof of concepts, and demonstrating to stakeholders.
  • Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers.
  • Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem.

What We Need From You
  • Bachelor's Degree Computer Science, Data Science, MIS, Engineering, Mathematics, Statistics or other quantitative discipline with 5-8 years of hands-on experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req
  • Proven experience designing scalable, fault-tolerant data architecture and pipelines on Databricks delta lake, lakehouse, unity catalog, streaming, AWS, ETL/ELT development and data modeling, with a focus on performance optimization and maintainability Required
  • Deep experience of platforms and services like Databricks, and AWS native data offerings Required
  • Solid experience with big data technologies (Databricks, Apache Spark, Kafka) and AWS cloud services related to data processing and storage Required
  • Strong hands-on experience with ETL/ELT pipeline development using AWS tools and Databricks Workflows Required
  • Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required
  • Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala Required
  • Hands on RDBMS and data warehousing experience (data modeling, analysis, programming, stored procedures) Required
  • Good understanding of system architecture and design patterns to design and develop applications using these principles Required
  • Proficiency with version control systems like Git and experience with CI/CD pipelines for automating data engineering deployments Required
  • Familiarity with machine learning model deployment and management practices is a plus Preferred
  • Experience with SAP, BW, HANA, Tableau, or Power BI is a plus Preferred
  • Experience with auto, manufacturing, or supply chain industries is a plus Preferred
  • Project life-cycle leadership and support for requirement workshop, design, development, test cycles and production cutover, post-go live support, and environment strategy. Strong knowledge of agile methodologies Required
  • Strong communication skills, capable of collaborating effectively across technical and non-technical teams in a fast-paced environment. Required
  • AWS Certified Solution Architect Preferred
  • Databricks Certified Associate Developer for Apache Spark Preferred or other relevant certifications. Preferred
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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