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Data Software Engineer Jobs in Texas (NOW HIRING)

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

You have 8-10 years of relevant software development experience * You have hands-on experience in Java, Hyve, Hbase, API, Spark * Highly analytical and data oriented * Experience in SQL, NoSql ...

Ruri Software Technologies LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Experience or knowledge of software engineering tools/practices: i.e., Github,VSCode, CI/CD * Hands-on experience in designing and maintaining data schema life-cycles. PREFERRED QUALIFICATIONS: * You ...

Zortech Solutions

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

: Data Engineer Location: Irving, TX 12+ Months Only W2 Python/Pyspark/sql candidate. Cloud nice to ... Review and analyze moderately complex Software Engineering challenges that require an in-depth ...

Industrious Ventures

Senior Software Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

ICON is looking for a Software Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our data-driven ...

APN Consulting, Inc.

Software Engineer - Data

Austin, TX · On-site

$113K - $136K/yr

We are seeking a highly experienced Engineer to join our team and own the development of a Tiered data architecture for our data, enabling seamless data integration and the delivery of high-quality ...

McKesson

Software Engineer- Data Insights

Irving, TX · On-site

$106K - $176K/yr

McKesson Pharmacy Systems (MPS) is seeking a Software Engineer to join our Data Insights team. In this role, you will build and support scalable data solutions that power reporting, analytics ...

McKesson

Software Engineer- Data Insights

Irving, TX · On-site

$106K - $176K/yr

McKesson Pharmacy Systems (MPS) is seeking a Software Engineer to join our Data Insights team. In this role, you will build and support scalable data solutions that power reporting, analytics ...

ICON

Senior Software Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

ICON is looking for a Software Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our data-driven ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

NAVA Software solutions is looking for a Principal Data Engineer Details: Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data ...

Apple

Software Engineer - AML - Ai & Data Platforms

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Software Engineer - AML - Ai & Data Platforms, who will work closely with other Software Engineers, Project & Product Managers, Product Designers, and other internal & external ...

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Showing results 21-40

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 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 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 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.

Data Engineer

Dallas, TX • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees
Learn more about Ruri Software Technologies LLCexternal

$105K - $126K/yr

Full-time

Re-posted 23 days ago

Job description

Job Title: Data Engineer
Duration: 8+ months
Location: Dallas,TX (Hybrid)
Skill set: Java, Hyve, Hbase, API, Spark
Job Description (Data Engineer)
  • You have 8-10 years of relevant software development experience
  • You have hands-on experience in Java, Hyve, Hbase, API, Spark
  • Highly analytical and data oriented
  • Experience in SQL, NoSql Database
  • Data masking of on prem PII data.
  • Develop API calls with using secure data transfer
  • Take standard output data to lower environments for pre prod testing
  • Enable secured channels for data models and data science activities
  • Need a solution that can scale to handle millions of data. i.e., masking 10 million records in 15 mins
  • You have experience with development tools and agile methodologies

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