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Software Engineer Jobs in Bryan, TX (NOW HIRING)

Software Tutor

Bryan, TX · Remote

$40/hr

Deep knowledge of software development methodologies, programming languages, version control, software architecture, testing strategies, debugging, database design, API development, and deployment ...

Deep knowledge of software development methodologies, programming languages, version control, software architecture, testing strategies, debugging, database design, API development, and deployment ...

Showing results 21-40

Software Engineer information

See Bryan, TX salary details

$58.6K

$136K

$189.5K

How much do software engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for software engineer in Bryan, TX is $136,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $159,500.00 per year, depending on experience, location, and employer.

What is a software engineer?

Software Engineers are professionals who design, develop, test, and maintain computer software and systems. They use programming languages, engineering principles, and problem-solving skills to build applications, websites, or software solutions that meet specific needs. Software Engineers may work in a variety of industries, such as technology, finance, healthcare, or entertainment, collaborating with other team members to deliver functional and reliable software. Their role often involves analyzing user requirements, writing code, debugging errors, and continually improving software performance.

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

To thrive as a Software Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are typically required. Excellent teamwork, communication, and adaptability distinguish top performers in this role. These skills ensure efficient, high-quality software development that meets user needs and adapts to technological changes.

What are some common challenges software engineers face when collaborating on large development teams?

Software engineers working on large teams often encounter challenges with communication, code integration, and maintaining consistent coding standards. Coordinating across multiple developers can lead to merge conflicts and misunderstandings about project requirements or priorities. Adopting tools like version control systems, regular code reviews, and clear documentation helps mitigate these issues. Building strong collaboration skills and proactively seeking clarification are key to ensuring smooth teamwork and project success.

What is the difference between Software Engineer vs Software Developer?

AspectSoftware EngineerSoftware Developer
CredentialsBachelor's degree in CS or related field, certificationsBachelor's degree often preferred, certifications optional
Work EnvironmentDesigning, developing, testing, and maintaining software systemsWriting, coding, and implementing software applications
Industry UsageUsed across tech, finance, healthcare, and more for system-level rolesCommonly used in app and web development projects
Search IntentUnderstanding roles, responsibilities, and qualificationsLearning about coding, programming, and project work

While both roles involve software creation, Software Engineers typically focus on designing and architecting complex systems, whereas Software Developers mainly concentrate on coding and building specific applications. The roles often overlap, but the Engineer role may require broader system knowledge and design skills.

Are software engineers still in demand?

Yes, software engineers are in high demand across many industries due to ongoing digital transformation, the growth of cloud computing, and the need for software development, maintenance, and cybersecurity skills. The profession offers strong job stability, competitive salaries, and opportunities to work with various programming languages and tools.

Is 25 too late to become a software engineer?

Age is not a barrier to becoming a software engineer; many professionals start careers in tech in their mid-20s or later. Success depends on acquiring relevant skills, such as programming languages and problem-solving, often through coding bootcamps, online courses, or formal education. Employers value skills and experience over age, making it possible to enter the field at 25 or older.

What are the most commonly searched types of Software Engineer jobs in Bryan, TX?

The most popular types of Software Engineer jobs in Bryan, TX are:

What are popular job titles related to Software Engineer jobs in Bryan, TX?

For Software Engineer jobs in Bryan, TX, the most frequently searched job titles are:

What job categories do people searching Software Engineer jobs in Bryan, TX look for?

The top searched job categories for Software Engineer jobs in Bryan, TX are:

What cities near Bryan, TX are hiring for Software Engineer jobs?

Cities near Bryan, TX with the most Software Engineer job openings:

Infographic showing various Software Engineer job openings in Bryan, TX as of August 2026, with employment types broken down into 95% Full Time, 2% Temporary, and 3% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution, with an average salary of $136,029 per year, or $65.4 per hour.

Senior Data Engineer (Python and Palantir)

Lyons, TX • On-site

$82K - $99K/yr

Contractor

Re-posted 24 days ago


Job description

Job Title:- Senior Data Engineer (Python and Palantir)
Location:- Spring, TX 77389 (On-Site)
Job Type:- Long Term Contract
Could be On-Site Interview
Oil & gas experience is preferred
 
Job Overview:

  • As part of the CCS100 Fusion Team, help build tools that optimize investment and operational decisions in the world-class, scalable carbon capture system that the client is building on the US Gulf Coast.
  • Implement the data layer of the CCS100 application using the Palantir Foundry platform, revising the current design implemented in other technologies.
  • Serve as a knowledge resource regarding Palantir tools for the rest of the CCS100 team.

Key Responsibilities:

  • Quickly come up to speed on the current data organization of the CCS100 product, converting that data model into a Palantir Ontology representation
  • Give suggestions and recommendations on changes to the data model that would improve performance, extensibility, or flexibility of the Palantir solution
  • Set up ingestion and export relationships from the Ontology into other data sources or data stores, ensuring reliability and performance of the connection
  • Implement validations and transforms of the Ontology data as required, taking full advantage of Foundry platform capabilities
  • Create examples or write interface code that will ease connection to Ontology data from other parts of our system

Qualifications:

  • Bachelor’s degree in computer science, engineering, quantitative sciences, or mathematics; alternatively significant practical software project experience
  • Multiple years of experience in building data-heavy applications and/or working as a data engineer
  • Demonstrated proficiency and experience with building applications in Palantir Foundry with focuse on data modeling and utilization of Ontology Manager tool
  • Experienced with using Python to process or transform data
  • Strong analytical thinking skills with ability to assimilate software architectures and data designs quickly
  • Adaptability to rapidly changing priorities and an ability to deliver work on time
  • Good technical communication and collaboration skills; experience working in Agile teams

Preferred Qualification:a

  • Broad experience in other Palantir Foundry tools (e.g. Workshop, Quiver, etc.)

Top 3 Skill Sets/Technologies Required for Qualification:

  • Strong Data Engineering skills and ability to build complex applications applying data science concepts
Palantir Foundry with focus on data modeling and utilization of Ontology Manager tool