ZipRecruiter

Log In

1

Data Software Engineer Jobs in Texas (NOW HIRING)

ICON

Senior Software Engineer, Data

Austin, TX

$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 ...

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

Leveraging modern data platforms, engineering practices, and software development techniques, the Data Engineer II works closely with data scientists, analysts, software engineers, and DevOps to ...

Acrisure

Software Engineer, Data (L1)

Austin, TX · On-site

$113K - $136K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About ...

Acrisure

Software Engineer, Data (L1)

Austin, TX · On-site

$113K - $136K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About ...

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 ...

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 ...

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 ...

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 ...

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 ...

previous pagenext page

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 Aug 20, 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 August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Senior Software Engineer, Data

ICON

Austin, TX

$113K - $136K/yr

Full-time

Re-posted 3 days ago

Job description

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 products and services.

Data Engineering Responsibilities

  • Design and build robust data pipelines to ingest, transform, and load data from a variety of internal and external sources.
  • Develop and maintain large, high quality datasets that power machine learning models and analytical products.
  • Build scalable data storage, processing, and serving infrastructure on cloud platforms.
  • Develop tooling and services for data labeling, data review, and dataset curation at scale.
  • Find and evaluate new external data sources - manage relationships with data partners and vendors.
  • Contribute to CI/CD practices and engineering standards across the data platform.

Data Science Responsibilities

  • Partner with ML engineers and researchers to design feature pipelines and experiment infrastructure.
  • Apply statistical and analytical techniques to assess dataset quality, identify gaps, and surface insights.
  • Develop efficient algorithms and data models to curate data and maintain high quality and consistency.
  • Design and evaluate metrics to measure dataset health and model readiness.
  • Translate ambiguous research questions into well defined data problems with measurable outcomes.

Minimum Qualifications

  • 7+ years of software development experience.
  • 5+ years of hands on experience managing and engineering data at scale.
  • Proficiency in Python, TypeScript and SQL.
  • Experience with cloud data services and storage technologies (e.g., S3, Redshift, BigQuery, Snowflake).
  • Familiarity with statistical analysis and core data science concepts (feature engineering, data distributions, model evaluation etc).
  • Degree in Computer Science, Statistics, a related technical field, or equivalent experience.
  • Strong problem solving skills with the ability to work independently and drive projects end-to-end.

Preferred Skills and Experience

  • Experience building large datasets for machine learning training and evaluation.
  • Proficiency with data science libraries (pandas, NumPy etc.).
  • AWS experience, including CDK or similar managed services.
  • Experience with workflow orchestration tools (Airflow, Prefect etc).
  • Experience with modern CI/CD workflows
  • Experience partnering with external organizations or managing 3rd party data vendors.

Apply