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Senior Data Engineer Jobs in Texas (NOW HIRING)

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

NTTDATA/National Life Group Position: Sr. Data Engineer Location: Dallas, TX (100% onsite) Interviews: Video and in-person Technical Lead with 12+ yrs of experience as well as expertise in data ...

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Senior Data Engineer Location: Dallas, TX (Onsite) Employment Type: Full-time Job Summary We are seeking an experienced Senior Data Engineer to support a large-scale enterprise data platform ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $130K/yr

Senior Data Engineer About the Role We are seeking a Senior Data Engineer to design, build, and scale modern data platforms that enable analytics, data products, and AI initiatives across the ...

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Senior Data Engineer Location: Dallas, TX or Mountain View, CA Duration: Long Term Contract As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines ...

Sr. Data Engineer

Coppell, TX · On-site

$97K - $132K/yr

Sr. Data Engineer As our Sr Data Engineer, you will function as a consultant between our technology unit and other business units to understand their challenges. You'll ask questions and present ...

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Sr. Data Engineer will be part of the Data & AI Team. The Data & AI Team works very closely with all aspects of applications and data pipelines. We are looking for a Sr. Data Engineer to design ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision-making across the organization's global operations.

Senior Data Engineer

Irving, TX · On-site

$101K - $138K/yr

The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit ...

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud Labs, and Engineering teams. Your focus ...

Senior Data Engineer

Irving, TX · On-site

$98K - $133K/yr

The Senior Data Engineer is a key technical leader responsible for the design, maintenance, and optimization of enterprise data systems across on-premises and cloud environments. This hybrid role ...

Senior Data Engineer

Grand Prairie, TX · Hybrid

$100K - $136K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Senior Data Engineer

Irving, TX · Hybrid

$98K - $133K/yr

The Senior Data Engineer is a key technical leader responsible for the design, maintenance, and optimization of enterprise data systems across on-premises and cloud environments. This hybrid role ...

Showing results 21-40

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 Aug 10, 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What are popular job titles related to Senior Data Engineer jobs in Texas? For Senior Data Engineer jobs in Texas, the most frequently searched job titles 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 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $117,694 per year, or $56.6 per hour.

Senior Data Engineer

Quanex

Houston, TX

$101K - $137K/yr

Full-time

Re-posted 16 days ago


Job description

Quanex is looking for a Sr. Data Engineer to join our team located in Houston, Texas.

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ensures reliable, high-quality data flows across systems and owns the full data lifecycle—from ingestion to transformation, storage, and consumption—enabling business insights and data-driven decision-making.

Candidates must be authorized to work in the United States without the need for current or future employer sponsorship. Quanex will not provide sponsorship for this position. Candidates must also be local to Houston, as relocation will not be offered for this position.

We Offer You!

  • Competitive Salary
  • Excellent Bonus Potential
  • Medical, Dental & Vision Plans
  • Paid Time Off, Training & Holidays
  • Charitable Contribution Match Program
  • Tuition Assistance
  • Wellness/Fitness Resources
  • Training & Professional Development
  • 401K Match w/ 2-year Vesting Period
  • Employee Stock Purchase Plan
  • Dynamic Culture & People - just to name a few!

What’s attractive about the Sr. Data Engineer position?

  • Drive Impact Through Data
  • Collaborate Across the Business
  • Thrive in a Fast-Paced Environment

What Success Looks Like:

  • Design, build, and maintain ETL/ELT pipelines to ingest data from ERPs, applications, APIs, and external sources.
  • Own and manage the full data lifecycle: ingestion, transformation, storage, modeling, and consumption.
  • Develop and optimize complex SQL queries, stored procedures, and data transformations for large-scale datasets.
  • Design and maintain scalable data models for Data Warehouse and Data Lake environments (star/snowflake schemas).
  • Integrate data across multiple systems (ERPs, APIs, flat files, third-party tools) ensuring consistency and reliability.
  • Collaborate with integration teams to align data pipelines with enterprise architecture (integration layers, APIs, middleware).
  • Implement data quality, validation, and monitoring frameworks across all stages of the data lifecycle.
  • Optimize data pipelines, queries, and storage for performance, scalability, and cost efficiency.
  • Troubleshoot data issues and ensure timely resolution of data-related incidents.
  • Partner with BI developers, analysts, and business stakeholders to deliver high-quality data solutions.

What You Bring:

  • 5+ years of experience in data engineering or related roles.
  • Bachelor’s degree in computer science, Information Technology, Data Science, Engineering, or a related technical field required.
  • Advanced SQL expertise (complex joins, window functions, query optimization, indexing strategies, performance tuning).
  • Strong experience with ETL/ELT tools and frameworks.
  • Deep understanding of data lifecycle management (ingestion, transformation, storage, governance, and consumption).
  • Strong experience with data integration patterns (APIs, batch processing, streaming, middleware).
  • Proficiency in data modeling (star/snowflake schemas, normalization vs denormalization).
  • Experience with Data Warehousing and Data Lake architectures.
  • Experience with cloud platforms (Azure preferred).
  • Experience with Microsoft Fabric, Azure Data Factory, or similar tools.
  • Familiarity with ERP systems (SAP, Oracle, NetSuite).
  • Experience with financial data and reconciliation processes.
  • Exposure to big data technologies (Spark, Databricks).
  • Understanding of EDI or structured data exchange formats.
  • Experience implementing data governance and data quality frameworks.
  • Strong analytical and problem-solving skills.
  • Attention to detail with strong focus on data quality and integrity.
  • Ability to understand and manage end-to-end data flows across systems.
  • Strong collaboration across technical and business teams.
  • Ownership mindset with proactive issue resolution.
  • Ability to work in agile, fast-paced environments.

The salary range for this position is $120,000 to $140,000 with bonus potential.

Call or text 346-277-9038 to apply!

About Quanex, A Part of Something Bigger

Quanex (NYSE: NX) is a global, publicly traded manufacturing company primarily serving OEMs in the fenestration, cabinetry, solar, refrigeration and outdoor products markets. We are A Part of Something Bigger by improving the performance and aesthetics of end products through continuous innovation, helping customers achieve greater production efficiencies, dedication to giving back to communities where we operate, producing shareholder value and helping our employees learn, grow, and thrive. Learn more at Quanex.com.

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Quanex logo

About Quanex

Sourced by ZipRecruiter

Industry

Construction materials wholesalers

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1927