ZipRecruiter

Log In

1

Data Software Engineer Jobs in Texas (NOW HIRING)

Acrisure Innovation

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 ...

Acrisure Innovation

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 ...

Civitech

Software Engineer, Geospatial Data

Austin, TX · On-site +1

$113K - $136K/yr

The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that team's Engineering Manager. This team focuses on: * Tools used by our ...

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 ...

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 help build the ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Vitol is the world's largest independent energy and commodities trading company, and they are seeking an experienced Software Engineer to join their global data science and machine learning team. The ...

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 ...

NAVA Software Solutions

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 ...

Nava Software Solutions

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 ...

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 ...

next page

Showing results 1-20

People also search for

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 Jul 8, 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 engineers make $300,000 a year?

Senior software engineers, data engineers, and machine learning engineers with extensive experience, specialized skills, and often working in high-demand industries or companies can earn $300,000 or more annually. Achieving this level typically requires advanced technical expertise, certifications, and sometimes leadership responsibilities or stock options.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced skills, and sometimes stock options or bonuses in addition to base salary.

What does a software data engineer do?

A software data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. Strong programming skills and knowledge of database systems are essential for this role.

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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Software Engineer, Data (L1)

Acrisure Innovation

Austin, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

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
Acrisure Enterprise Technology Group is where human expertise meets advanced technology.
A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services - and more.
In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.
Job Summary:
The Enterprise Data team's mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by building a data foundation utilizing Palantir Foundry, AIP and Ontology that powers analytics and reporting platforms, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers.
The Software Engineer, Data (L1) is responsible for building technology and pipelines to rapidly onboard raw datasets into our data platform from a wide variety of data sources and associated technologies. Responsibility includes hands-on contributions in a team environment. Ensuring high quality and best practices are maintained through the development cycle is key to this position.
Our Data platform is transitioning to Palantir from a Google and Microsoft hybrid cloud tech stack. Our data storage layer includes BigQuery, Databricks, Azure, and Postgres. Across our broader tech stack, we code primarily in Python, Scala, Kotlin, Java, and JavaScript and make use of many frameworks including Dataflow, Apache Airflow, Apache Spark, dbt, Delta Lake, Apache Iceberg, Cloud AI Platform, Spring, and React.
Responsibilities:
  • Leverage established patterns and establish new patterns as required to rapidly onboard new data sets into the data platform
  • Establish repeatable, automated data management processes for managing sensitive information
  • Own deliverables while also collaborating with and supporting others in a team setting including conducting and participating in design and code reviews
  • Collaborate with product on priorities and approach and with other engineering and AI teams who would consume raw data

Requirements
  • 2+ years of engineering experience with data warehouses, data lakes or software engineering with a data emphasis
  • Strong SQL knowledge
  • Proficient in Scala, Python, or Java
  • Well versed in Data Lake & Delta Lake Concepts
  • Understanding of data security best practices
  • Well versed in Databricks/BigQuery/Palantir usage in building enterprise data platforms
  • Familiarity with implementing end-to-end data pipeline and Ontology development using Palantir platform is a plus
  • Familiarity with data orchestration technologies like Airflow, Dagster, or Fivetran
  • Experience with cloud environments; (GCP, Azure) a definite plus
  • Familiar with DevOps process
  • Experience creating and sharing standards, best practices, documentation, and reference examples for data warehouse, integration/ETL systems
  • Apply a disciplined approach to testing software and data
  • Experience working with APIs
  • Well versed in common data frameworks such as Spark & Polars
  • Undergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvement

Education and Experience:
Required Qualifications
  • Undergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvement

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.
Benefits and Perks:
  • Competitive compensation
  • Generous vacation policy, paid holidays, and paid sick time
  • Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)
  • Company-paid Short-Term and Long-Term Disability Insurance
  • Company-paid Group Life insurance
  • Company-paid Employee Assistance Program (EAP) and Calm App subscription
  • Employee-paid Pet Insurance and optional supplemental insurance coverage
  • Vested 401(k) with company match and financial wellness programs
  • Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options
  • Paid maternity leave, paid paternity leave, and fertility benefits
  • Career growth and learning opportunities
  • ...and so much more!

Please note: This list is not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Offerings may vary based on subsidiary entity or geographic location.
Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.
At Acrisure, we firmly believe that an inclusive workforce drives innovation, creativity, and ultimately, our collective success.
We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. Acrisure also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination.
Acrisure also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws. If you need to inquire about an accommodation, or need assistance with completing the application process, please email leaves@acrisure.com.
Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.
California residents can learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available at www.Acrisure.com/privacy/caapplicant.
Welcome, your new opportunity awaits you.
#LI-onsite
#LI-austin

Apply