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Senior Data Engineer Jobs in Texas (NOW HIRING)

Senior Data Engineer

Southlake, TX ยท On-site

$160K - $175K/yr

As a Senior Data Engineer within the Sales & Service Data Engineering organization, you will play a critical role in advancing strategic Wealth Management and Financial Services initiatives that ...

Senior Data Engineer

San Antonio, TX ยท On-site +1

$130K - $150K/yr

The Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available ...

Senior Data Engineer

San Antonio, TX ยท On-site

$130K - $150K/yr

The Senior Data Engineer will work closely with our analytics, reporting, and data science teams on data initiatives, ensuring that a consistent, optimal data delivery architecture is available ...

Sr. Data Engineer

Dallas, TX

$113K - $136K/yr

We are looking for a Senior Data Engineer, or similarly experienced data modernization professional, to help guide the next stage of our data platform evolution. This role will support the ...

Sr Data Engineer

Houston, TX ยท On-site

$101K - $137K/yr

As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines while collaborating with various teams to enable actionable insights through data-driven products.

Sr. Data Engineer

Houston, TX ยท On-site

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n \n \n N ote: Only Houston, TX candidates \n \n \n \n \n \n \- Responsibilities: \n \n \n \-Build ...

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You ...

Senior Data Engineer

Austin, TX ยท Remote

$105K - $142K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Senior Data Engineer

Austin, TX ยท Remote

$105K - $142K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Senior Data Engineer- US Citizen

Prosper, TX ยท On-site

$97K - $131K/yr

Senior Data Engineer- US Citizen Location: Minneapolis, MN Rate: Depends on experience Additional Requirements * Must be a U.S. Citizen * Must be currently located in Minnesota (MN), or willing to ...

Senior Data Engineer

Southlake, TX ยท On-site

$99K - $135K/yr

As a Senior Data Engineer within the Sales & Service Data Engineering organization, you will play a critical role in advancing strategic Wealth Management and Financial Services initiatives that ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play a pivotal role in designing data models and building scalable pipelines to capture business metrics ...

JB061810 - Senior Data Engineer - 1707

Houston, TX ยท On-site

$101K - $137K/yr

Senior Data Engineer Location: Houston, Texas 77002 Duration: 06 Months Contract Job Summary Our client is seeking an experienced Senior Data Engineer to design, build, and optimize enterprise data ...

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

Showing results 41-60

Senior Data Engineer information

See Texas salary details

$75.5K

$117.7K

$163K

How much do senior data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for senior data engineer in Texas is $117,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Texas?

The most popular types of Data Engineer jobs in Texas are:

What cities in Texas are hiring for Senior Data Engineer jobs?

Cities in Texas with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in TX?

For Senior Data Engineer jobs in TX, the most frequently searched job titles are:

Infographic showing various Senior Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,694 per year, or $56.6 per hour.

Senior Data Engineer

Charles Schwab Inc.

Southlake, TX โ€ข On-site

$160K - $175K/yr

Full-time

Re-posted 12 days ago


Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Technology Services (STS) enables the future of how clients manage their money through innovative, scalable, and secure technology solutions. As a Senior Data Engineer within the Sales & Service Data Engineering organization, you will play a critical role in advancing strategic Wealth Management and Financial Services initiatives that support client experiences, business growth, and operational excellence.
In this highly visible role, you will lead the design, development, and modernization of enterprise-scale cloud data solutions that power critical business capabilities across Sales & Service platforms. You will partner closely with product owners, architects, analysts, and business stakeholders to solve complex data challenges, improve decision-making, and deliver resilient, trusted, and scalable data products. Your expertise will help shape the organization's long-term data strategy while accelerating cloud modernization efforts leveraging Snowflake, Google Cloud Platform (GCP), Airflow, Salesforce integrations, and modern engineering practices.
Success in this role requires strong problem-solving skills, sound technical judgment, and the ability to balance innovation with reliability in a highly regulated environment. You will influence engineering direction through hands-on development, technical leadership, mentoring, and collaboration across cross-functional teams. This is an opportunity to make a meaningful impact while helping drive the future of cloud-based data engineering at Schwab.
What you have
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 10+ years of experience in software engineering, data engineering, or enterprise application development.
  • 10+ years of hands-on experience designing, developing, and delivering enterprise-scale data integration and data engineering solutions.
  • Advanced experience with Snowflake, Python, Microsoft SQL Server, Informatica IDMC, Google Cloud Platform (GCP), Apache Airflow, GitHub, and CI/CD practices.
  • Strong expertise in data modeling, data integration, data warehousing, and data lake architectures.
  • Experience implementing modern data engineering practices, including change data capture, reconciliation frameworks, medallion architecture, data transformation, and data quality solutions.
  • Demonstrated ability to build secure, scalable, and highly available data pipelines and data platforms.
  • Strong experience troubleshooting complex production issues, performing root cause analysis, and driving continuous improvement initiatives.
  • Proven ability to collaborate effectively with business and technology stakeholders to translate requirements into scalable technical solutions.
  • Excellent communication, mentoring, leadership, and stakeholder management skills.

Preferred Qualifications
  • 3+ years of experience supporting Wealth Management, Financial Services, or other highly regulated industries.
  • SnowPro certification or advanced Snowflake credentials.
  • GCP Professional Data Engineer or related cloud certifications.
  • Experience leading cloud modernization, digital transformation, or enterprise data platform initiatives.
  • Knowledge of enterprise data governance, security, compliance, and risk management practices.
  • Experience mentoring engineers and leading technical workstreams within Agile delivery teams.
  • Familiarity with Salesforce data integrations and customer experience platforms.
  • Experience driving DevSecOps, observability, and automation initiatives across large-scale engineering organizations.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.