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Data Software Engineer Jobs in Texas (NOW HIRING)

Q2 Software, Inc.

Software Engineer

Austin, TX · On-site

SMART turns real-time behavioral, transactional, and partner data into actionable insights that can ... The Role Q2 is seeking a Sr Software Engineer to join the Targeted Experiences team and help build ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience ... software design patterns and system architecture • Exposure to multi-user data platforms and ...

Q2 Software, Inc.

Software Engineer

Austin, TX · On-site

SMART turns real-time behavioral, transactional, and partner data into actionable insights that can ... The Role Q2 is seeking a Software Engineer to join the Targeted Experiences team and contribute to ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Five (5) years of experience as Data Engineer or as Oracle, Software, Applications or Database Engineer, Oracle, Software, Applications or Database Developer, or Oracle, Software, Applications or ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Five (5) years of experience as Data Engineer or as Oracle, Software, Applications or Database Engineer, Oracle, Software, Applications or Database Developer, or Oracle, Software, Applications or ...

Apptronik

Software Engineer - Human Motion Data

Austin, TX

$113K - $136K/yr

JOB SUMMARY As a Software Engineer- Human Motion Data, you will leverage your background in robotics to build the crucial link between human-data and our reinforcement learning pipelines. This role ...

Lockheed Martin Corporation

$108K - $130K/yr

You will be the Software Engineer Sr. - AI / Data Visualization Developer for the Missiles and Fire Control CIO organization. Our team is responsible for delivering program technology and information ...

Samprasoft

Software Engineer

Houston, TX · On-site

Design and develop data engineering, data integration and data management practices and tools * Develop software solution leveraging established Clients technology standards and collaborate with ...

Habitat Energy

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Improve expertise within the software team and ensure their ability to support and collaborate on the data infrastructure infrastructure. * Data Quality Management: * Continuously enhance data ...

Habitat Energy

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Improve expertise within the software team and ensure their ability to support and collaborate on the data infrastructure infrastructure. * Data Quality Management: * Continuously enhance data ...

Habitat Energy

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Improve expertise within the software team and ensure their ability to support and collaborate on the data infrastructure infrastructure. * Data Quality Management: * Continuously enhance data ...

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Showing results 1-20

All JobsData Software Engineer JobsData Software Engineer Jobs in Texas

Data Software Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data software engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data software engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

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

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.
What are the most commonly searched types of Data Software Engineer jobs in Texas? The most popular types of Data Software Engineer jobs in Texas are:
What are popular job titles related to Data Software Engineer jobs in Texas? For Data Software Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Software Engineer jobs in Texas look for? The top searched job categories for Data Software Engineer jobs in Texas are:
What are popular job titles related to Data Software Engineer jobs in TX? For Data Software Engineer jobs in TX, the most frequently searched job titles are:
Data Software Engineer jobs near you
Infographic showing various Data Software Engineer job openings in Texas as of June 2026, with employment types broken down into 2% Internship, 90% Full Time, and 8% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Software Engineer - Data Science

Software Engineer - Data Science

VC5 Consulting

Houston, TX

$109K - $131K/yr

Other

Posted 19 days ago

Job description

In this role, you will support transformative GenAI tools while collaborating closely with commercial teams and data scientists. You will be responsible for designing models and implementing application features aligned with stakeholder requirements. Your contributions will significantly impact project lifecycles and foster software engineering best practices focused on maintainability and performance, as you engage actively with a small, dynamic team.

Key Responsibilities:

  • Collaborate with cross-functional teams to design and implement features based on stakeholder needs, ensuring alignment with business goals.

  • Lead code reviews and provide constructive feedback to enhance the team''s productivity and code quality.

  • Engage in the complete project lifecycle, from initial design through to functional deployment, maintaining a focus on scalability and supportability.

  • Champion the adoption of AI tools and techniques, acting as a local expert and facilitator within the organization.

Requirements:

  • 5+ years'' experience in a software engineering or AI-related role, with a strong emphasis on collaboration across teams.

  • Proven ability to translate complex commercial requirements into executable features in application design.

  • Experience in evolving software architectures from prototype stages to production, with an understanding of the impact of technical debt.

  • Familiarity with modern programming languages and methodologies used in AI, such as Python and agile development practices.

Role Details:

  • Employment Type: Full-time

  • Location: Houston, Texas 77098

  • Schedule: Monday–Friday, 9 AM–5 PM

Join our team and work with cutting-edge GenAI tools in a collaborative environment that values impactful problem-solving in the energy sector. This role offers the opportunity for continuous technical growth and meaningful contributions.
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