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Big Data Developer Jobs in Dallas, TX (NOW HIRING)

Sonsoft Inc

Big Data

Plano, TX

$50.75 - $65.75/hr

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

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 ...

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 ...

Amazon

Big Data Engineer II

Dallas, TX · Remote

$55.25 - $73/hr

... big data engineering with AI/ML to revolutionize how AWS processes and reports revenue at global scale Key job responsibilities Evolve the Revenue technology stack to support AWS's rapid expansion ...

Amazon

Big Data Engineer II

Dallas, TX · Remote

$55.25 - $73/hr

... big data engineering with AI/ML to revolutionize how AWS processes and reports revenue at global scale Key job responsibilities Evolve the Revenue technology stack to support AWS's rapid expansion ...

Sonsoft Inc

Big Data

Plano, TX

Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types ... Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive ...

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How much do big data developer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for big data developer in Dallas, TX is $58.61, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $65.67 per hour, depending on experience, location, and employer.

Is big data a good career?

Big Data Developers are in high demand due to the growth of data-driven decision making across industries. The role typically requires skills in programming, data management, and tools like Hadoop or Spark, and offers competitive salaries and opportunities for advancement. It is considered a promising career path for those interested in technology and data analysis.

What Is a Big Data Developer?

A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.

What is a Big Data Developer?

A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.

What are some common challenges Big Data Developers face when integrating new data sources into existing pipelines?

A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.

What are the key skills and qualifications needed to thrive as a Big Data Developer, and why are they important?

To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.

Can I make 200K as a data engineer?

Big Data Developers and data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

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

AspectBig Data DeveloperData Engineer
Primary FocusDesigning and developing big data applications and solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsHadoop, Spark, Java, Scala, SQLETL, cloud platforms, scripting, database management
Work EnvironmentData teams, software development projectsData infrastructure, cloud environments, data warehouses
Industry UsageTech, finance, healthcare, retailTech, finance, telecom, e-commerce

While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.

Will AI replace big data?

Big Data Developers work with large datasets, data processing tools, and analytics platforms. AI can automate some data analysis tasks, but it complements rather than replaces the need for skilled professionals to design, manage, and interpret complex data systems.

What do big data developers do?

Big Data Developers design, build, and maintain large-scale data processing systems using tools like Hadoop, Spark, and Kafka. They write code to extract, transform, and load data, ensuring data quality and performance for analytics and business insights.
More about Big Data Developer jobs
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What job categories do people searching Big Data Developer jobs in Dallas, TX look for? The top searched job categories for Big Data Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Big Data Developer jobs? Cities near Dallas, TX with the most Big Data Developer job openings:
Big Data Developer jobs near you
Infographic showing various Big Data Developer job openings in Dallas, TX as of July 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $121,901 per year, or $58.6 per hour.
Big Data Developer

Big Data Developer

Avani Technology Solutions, Inc.

Irving, TX • On-site

$51.25 - $66.50/hr

Full-time

Posted 23 days ago

Job description

Position: Big Data Developer
Location: Irving, TX
Duration: Long Term
Responsibilities:
1). Develop software using Hadoop technologies like Spark, Scala, Python, Hbase, Hive, Cloudera.
2). Fine tune application performance
3). Troubleshoot and resolve data processing issues
4). Engage with various team for software delivery
5). Build, maintain and execute unit test cases with high code coverage
Required Skills:
1). 9+ years of professional experience
2). 2+ years of hands-on experience with big data technologies such as Spark, Scala, Python, Hbase, Hive, Cloudera is required.
3). Familiar with development tools such as Jenkins, Git/BitBucket, Jira, etc.
4). Familiar with Agile methodologies such as SCRUM, LEAN, etc
5). Prepare unit test cases and validate the results for accuracy.
6). Excellent written and verbal communication and presentation skills

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