ZipRecruiter

Log In

1

Sr Data Engineer Jobs in Texas (NOW HIRING)

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland TX - 4 days/week onsite Duration: 12 months Design, develop, and support data engineering, data ...

Stevenstransport

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

The Senior Data Engineer (Data Warehouse & BI Platform) is responsible for the end-to-end design, development, and optimization of Stevens Transport's data warehouse architecture. This role will lead ...

Quanex

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 ...

Quanex Building Products

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 ...

Xforia, Inc.

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 ...

Tixy Services LLC

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 ...

Quanex

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 ...

Quanex

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 ...

Hermitage Infotech

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 ...

Judge Group, Inc.

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 ...

American Automobile Association

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 ...

XPEL, Inc.

Senior Data Engineer

San Antonio, TX · On-site

$95K - $129K/yr

We are seeking a highly motivated and talented Senior Data Engineer to join our team. We value ambition, intelligence, and the ability to learn quickly over specific experience in our stack. If you ...

Copart, Inc.

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 ...

Fracht USA

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.

Hilltop Holdings

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 ...

Xpel

Senior Data Engineer

San Antonio, TX · On-site

$95K - $129K/yr

We are seeking a highly motivated and talented Senior Data Engineer to join our team. We value ambition, intelligence, and the ability to learn quickly over specific experience in our stack. If you ...

SpyCloud

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 ...

previous pagenext page

Showing results 21-40

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Texas

Sr Data Engineer information

See Texas salary details

$75.5K

$117.7K

$163K

How much do sr data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for sr 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 Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Texas?

For Sr Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Texas look for?

The top searched job categories for Sr Data Engineer jobs in Texas are:

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

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

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Texas as of August 2026, with employment types broken down into 74% Full Time, 2% Part Time, and 24% Contract. Highlights an 86% In-person, 10% Hybrid, and 4% Remote job distribution, with an average salary of $117,694 per year, or $56.6 per hour.

Sr. Data Engineer

NAVA Software Solutions

Sugar Land, TX • On-site

$105K - $126K/yr

Full-time

Re-posted 15 days ago

Job description

NAVA Software is looking for a Sr. Data Engineer
Details:
Sr. Data Engineer
Location: Sugarland TX - 4 days/week onsite
Duration: 12 months
Design, develop, and support data engineering, data modeling, and data integrations, with a primary focus on accelerating data landing and curation in a Databricks data lake house. Build and maintain reliable, well-governed pipelines that ingest data from source systems into the lake house and curate it through a layered (medallion) architecture into analytics-ready, trusted datasets. The role also carries a strong reporting and data-analysis focus - partnering with business users to build semantic data models, dashboards, and reports, and performing hands-on analysis to answer business questions. The Data Engineer will help establish the data foundation that powers data-related AI and machine learning initiatives, ensuring high-quality, well-documented, AI-ready data products.
Key Responsibilities
  • Build, optimize, and support pipelines that land data from source systems into the Databricks lake house and curate it through a layered (medallion) architecture into trusted, analytics-ready datasets.
  • Produce and maintain high-quality, well-governed, documented, AI-ready data products that serve as the foundation for AI and machine learning initiatives.
  • Implement data quality, governance, and monitoring controls (e.g., Unity Catalog, automated testing, alerting) across lake house pipelines.
  • Develop and maintain reporting and analytics solutions - semantic data models, dashboards, and reports - and perform ad-hoc querying to support business decision-making.
  • Gather requirements, design, and develop new data integrations or enhancements to existing code.
  • Partner with business users and the Business Relationship Management team on requirements gathering, testing, and supporting existing integrations, analytics, and reporting.
  • Create and maintain documentation and process flows for integration solutions.

Required Experience & Skills
  • Minimum 5 years of IT/technology experience spanning data analysis, data engineering, and/or data integration, with a focus on building and curating pipelines in a cloud data lake or lake house environment.
  • At least 3 years writing SQL/NoSQL queries, with specific experience in MS SQL Server, Oracle, and/or Postgres.
  • Hands-on experience with a modern cloud data platform / lake house (Databricks, Microsoft Fabric, Snowflake, or comparable). Databricks strongly preferred.
  • Demonstrated experience landing data from diverse source systems into a lake/lake house and curating it through a medallion (bronze-silver-gold) architecture into clean, conformed, analytics-ready datasets.
  • Strong Python skills for data engineering, including PySpark.
  • Working knowledge of data quality, data governance, and pipeline reliability practices - automated testing, monitoring, alerting, and orchestration of batch and incremental/streaming workloads.
  • Experience designing simplified data models for integrations, analytics, and reporting; comfortable performing hands-on data analysis and ad-hoc querying.
  • Experience extracting data from source systems via web services (SOAP, REST, Web APIs), XML, and CSV/Excel exports.
  • Experience building the data foundation and automation pipelines for analytics and AI/ML initiatives, and partnering with business users on LLM/GenAI use cases.
  • Bachelor's degree in Information Systems, IT, or a related technical discipline - or equivalent demonstrated technical proficiency.
  • Strong interpersonal and communication skills; fluent in English (oral and written).

Preferred / Nice-to-Have
  • Python, cloud data warehouse experience (e.g., Snowflake, Synapse), Spark SQL
  • Performance tuning, partitioning, and optimization.
  • Modern LLM architectures and GenAI frameworks - retrieval-augmented generation (RAG), embeddings and vector databases, prompt orchestration, and integrating LLMs into data products and pipelines.
  • Familiarity with using LLMs in automation development and with vector/embedding data.
  • Experience in the Oil & Gas domain.
NAVA Software Solutions logo

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

Facebook

View All NAVA Software Solutions Jobs

Apply