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Data Software Engineer Jobs in Texas (NOW HIRING)

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 ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

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

Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Mandatory Skills: • 5+ years of relevant software/data engineering experience. • Oil and Gas Experience preferred • Python • SQL • Data Modeling • ETL/Data Pipeline Engineering • AI/ML ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data ...

The software engineer will also review and test software components for adherence to the design ... Develop simple data queries for existing proposed databases or data repositories. * Make ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Description Within the Productization Data Tools team, you will assume the responsibility for ... Degree in Computer Science, Software Engineering, or a related field Preferred Qualifications

The software engineer will also review and test software components for adherence to the design ... Develop simple data queries for existing proposed databases or data repositories. * Make ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

It extends your existing software with AI-native apps and agents that work alongside your teams and ... About the role We are looking for a Senior Data Engineer to help build and evolve the data platform ...

Showing results 41-60

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 Sep 10, 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 is a data software engineer?

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?

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 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 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 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:

Infographic showing various Data Software Engineer job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Software Engineer (Data Solutions), AI & Data Platforms (AiDP)

Austin, TX • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

$113K - $136K/yr

Other

Re-posted 2 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

Software Engineer (Data Solutions), AI & Data Platforms (AiDP)

Austin, Texas, United States Software and Services

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.

Minimum Qualifications
  • Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
  • Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
  • Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
  • Bachelor's degree in Computer Science or equivalent experience
Preferred Qualifications
  • 3 or more years of experience building enterprise-level data applications on distributed systems
  • Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
  • Experience in cloud data warehousing platforms like Snowflake is highly valued
  • Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
  • Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving
  • Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud
  • Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
  • Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976