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

Dexian DISYS

Big Data Engineer - Sr

Plano, TX · On-site

$53.50 - $71/hr

Data Engineer Location: Plano TX (3 Days/ Hybrid) Duration: 7 Months + Interview: 1 Round Role Summary * Large-scale enterprise migration initiative involving migration of existing data pipelines to ...

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 ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

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 ...

Sonsoft Inc

Big Data Consultant

Plano, TX · On-site

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 ...

Sonsoft Inc

Big Data ( USC & GC )

Westlake, TX · On-site

$51 - $66/hr

Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing ... Hand on experience in programming languages like Java, Python, Perl. Qualifications * Bachelor ...

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will have expertise in big data processing, ETL pipeline development, and cloud-based data engineering solutions. You will work closely with data analysts, data scientists, and ...

Tata Consultancy Service Limited

Engineer

Addison, TX · On-site

$80K - $90K/yr

Minimum 10+ years Roles & Responsibilities Seeking a Senior Big Data Engineer with 1013 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data ...

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How much do big data developer jobs pay per hour?

As of Aug 13, 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.

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.

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.

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Big Data Developer jobs near you
Infographic showing various Big Data Developer job openings in Dallas, TX as of August 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 - Hadoop Developer - Texas

TriOptus LLC

Plano, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Position: Big Data - Hadoop Developer
Duration: 12 Months (CTH)
Location: Plano, TX
W2 Position with 2-3 days in a week onsite requirement
Additional Skills:
  • 4+ years of professional experience as a developer in a data warehousing or other data oriented, batch processing environment
  • 4+ years' experience in analysis of data or complex processes and systems, demonstrating strong analytical skills.
  • 4+ years using SQL
  • 4+ years of hands on experience with Java
  • 2+ years of hands on experience with Spark (is a plus)
  • 2+ years of hands on experience implementing REST based services.
  • 2+ years of hands on experience with Spring Framework 2.5 and above.
  • 3+ years of hands on experience with relational databases such as Teradata, Oracle or DB2
  • 3+ years creating complex technical designs which included data mappings
  • Experience with a scheduling tool, especially Control-M, is a plus.
  • Experience with issue analysis and resolution including usage of issue resolution processes for application production problems.
  • Experience working in an Agile setting
  • Demonstrated ability to work in a team environment with a structured SDLC and interface and coordinate with a variety of business and I/T groups
  • College degree or specialized training / equivalent work experience

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