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Big Data Software Engineer Jobs in Texas (NOW HIRING)

J.P. Morgan

Lead Software Engineer - Big Data

Plano, TX · On-site

As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Infrastructure Platforms - Data and Speciaity Services team, you are an integral part of an agile team that works to enhance ...

Wise Skulls Corp.

Fulltime Big Data Engineer

Dallas, TX · On-site

$55.50 - $73.25/hr

Big Data Engineer Location: Dallas, TX (Hybrid) JD: Summary We are looking for an experienced Big Data Engineer with 7 10 years of hands-on experience to design, build, and maintain scalable data ...

Avani Technology Solutions, Inc.

Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

... Big Data Pig Hive Spark & Scala. - The resource should have experience in SQL/DB2. - Excellent interpersonal verbal and written communication skills are required to interact with clients and Business ...

SmartIPlace

Big Data Engineer[Hybrid]

Dallas, TX · On-site

$55.25 - $73/hr

Skills Needed: Big Data, Spark SQL, Scala code, GCP Local to FL/TX/GA Position: Big Data Engineer Location: Temple Terrace, FL / Irving, Dallas TX / Alpharetta, GA (Hybrid - 3 Days in a Week Onsite ...

Cymertek Corporation

Big Data Architect

San Antonio, TX · On-site

$57.50 - $74/hr

Cymertek Corporation is looking for a skilled and innovative Big Data Architect to join their team ... Software Engineering, Mathematics, Electrical Engineering, Statistics, Business Analytics ...

Alliance Credit Union

Data Engineer

Lubbock, TX · On-site

$78K - $90K/yr

ALLIANCE is building a Data and Development Department to leverage Big Data and predictive ... Leveraging modern data platforms, engineering practices, and software development techniques, the ...

TriOptus LLC

Sr Big Data Engineer

Plano, TX · On-site

$52 - $69/hr

Job Title: Sr Big Data Engineer Job Location: Plano, Texas Job Type: Contract - Must-Have Skills: Python PySpark Spark AWS ETL Docker Good to Have Skills: Lead Experience Data Modeling CI/CD ...

Sonsoft Inc

Big Data Consultant

Austin, TX · On-site

Background in all aspects of software engineering with strong skills in parallel data processing ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

Background in all aspects of software engineering with strong skills in parallel data processing ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

Background in all aspects of software engineering with strong skills in parallel data processing ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

Apex Informatics

Senior Big Data Engineer

Plano, TX · On-site

$53.25 - $70.50/hr

Looking for true software engineering skill set. Experience working with large data sets, ETL, or applications that do high-volume data collection. Spark or other large scale data processing AWS ...

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Big Data Software Engineer information

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How much do big data software engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for big data software engineer in Texas is $58.68, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $66.06 per hour, depending on experience, location, and employer.

What is a big data software engineer?

A Big Data Software Engineer is a technology professional who designs, develops, and maintains systems and applications that process large and complex data sets. They work with big data technologies like Hadoop, Spark, and NoSQL databases to enable efficient data storage, processing, and analysis. These engineers collaborate with data scientists, analysts, and other stakeholders to build scalable solutions that extract valuable insights from massive amounts of data. Their work is essential in industries such as finance, healthcare, e-commerce, and more, where data-driven decision-making is critical.

What does a big data software engineer do?

As a big data software engineer, your primary responsibilities are to collect, store, process, and analyze large amounts of data. You then build what the software architects design. Your duties are to develop software and choose solutions to maintain, implement, and continue monitoring the data. You also need to integrate your code with the current company architecture. You may handle high scale distributed systems, build and interact with algorithms, and work in cloud computing environments.

What are the key skills and qualifications needed to thrive as a big data software engineer?

To thrive as a Big Data Software Engineer, you need strong programming skills (often in Java, Scala, or Python), a solid understanding of distributed systems, and a degree in computer science or related field. Experience with big data tools like Hadoop, Spark, Kafka, as well as familiarity with cloud platforms and data pipeline frameworks, is typically required. Problem-solving, analytical thinking, and effective teamwork are essential soft skills for handling complex data challenges and collaborating across teams. These skills and qualifications are crucial for designing efficient, scalable data solutions that drive business insights and innovation.

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

AspectBig Data Software EngineerData Engineer
Primary FocusDeveloping and optimizing big data processing applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming (Java, Scala), Hadoop, Spark, SQLETL tools, SQL, cloud platforms, scripting
Work EnvironmentData processing teams, software development projectsData infrastructure teams, cloud environments
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, retail

While both roles work with big data technologies, Big Data Software Engineers focus on creating scalable data processing applications, whereas Data Engineers build and maintain the data pipelines and infrastructure that support these applications. Both roles often collaborate but have distinct technical responsibilities.

What are the most common challenges big data software engineers face when working with large-scale data systems?

Big Data Software Engineers often encounter challenges such as ensuring data quality, optimizing the performance of data pipelines, and managing the complexity of distributed systems. Handling massive volumes of data requires careful attention to system scalability and fault tolerance. Additionally, integrating new technologies and collaborating with data scientists, analysts, and DevOps teams to deploy and maintain reliable data solutions are key aspects of the role. Staying updated on evolving big data frameworks and best practices is crucial for continued success.
More about Big Data Software Engineer jobs
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What are popular job titles related to Big Data Software Engineer jobs in TX? For Big Data Software Engineer jobs in TX, the most frequently searched job titles are:
Big Data Software Engineer jobs near you
Infographic showing various Big Data Software Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,047 per year, or $58.7 per hour.

Big Data Engineer with HL7 Healthcare/Python

Avani Technology Solutions, Inc.

Dallas, TX • On-site

$52.50 - $69.25/hr

Full-time

Re-posted 14 days ago

Job description

Role: Big Data Engineer with HL7 Healthcare/Python
Location: Dallas, TX
Duration: 9 Months
Top Three Skills:
1) Big Data Solutions in Cloudera Environment (Act as a technical expert addressing problems related to system and application design, performance, integration, Automation, etc.)
2) Enterprise Data Lake App. Development(Hive, Kafka, Flume, Sqoop, oozie, Spark, Shell Scripting, Python, SQL.all a must)
3) Data Warehousing (experience with relational database management systems like Oracle, Microsoft SQL Server, etc. )
4) Healthcare Domain Knowledge (HL 7, Health care exchange data, population health, claims data etc)
Job Description:
The Big Data Engineer is responsible for designing and building big data platforms, tools, and solutions that help manage, secure, and generate value from data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data at scales.
As a member of the Big Data team at Ascension, this person will specialize in Big Data technologies and solutions, helping to support teams in response to deliverables, ownership and pro-activeness to drive positive customer experience.
Ascension Health (Ascension Information Systems) is in the process of constructing a large enterprise data warehouse (data lake, etc. ). Construction of structured data segments within the enterprise data warehouse is imperative to segmenting the provider healthcare data being pulled from the different Ministries (hospital networks) within the Ascension Health Network. The developers within this task will have expert understanding of design patterns and have strong analytical skills. The organization craves forward thinking, resourceful developers with experience in Big Data solutions for enterprise businesses. Proficiency in gathering requirements, analysis and validation of business requirements, specifications; along with functional specifications for schema creations and table creations.
- Extensive experience in all phases of Software development life cycle (SDLC) is a must.
- Excellent skills in analyzing system architecture usage, defining and implementing procedures.
- Hands on experience in programming and implementation of Java, Scala and Python codes with strong knowledge in Object Oriented Concepts.

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