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Senior Hadoop Developer Jobs in Addison, TX (NOW HIRING)

Northern Base

Hadoop Architect

Plano, TX · On-site

... a Senior Hadoop Administrator, Hadoop Platform Engineer, or Big Data Support Engineer position. If this is for an interview, I can also prepare: 1. The top 50 interview questions with answers for ...

New

Tata Consultancy Service Limited

Hadoop Architect

Plano, TX · On-site

$95K - $115K/yr

... a Senior Hadoop Administrator, Hadoop Platform Engineer, or Big Data Support Engineer position. If this is for an interview, I can also prepare: 1. The top 50 interview questions with answers for ...

Collabera

Bigdata (Hadoop) Tester

Plano, TX · On-site

Senior BIG DATA (Hadoop) Tester We are looking to hire for a Senior Big Data Tester (Hadoop/HDFS) with 6+ years of experience in information technology with an emphasis on software quality assurance ...

Randstad Digital

Senior Developer

Plano, TX · On-site

$45.70 - $55.70/hr

Experience with Hadoop, Spark, Kafka, HDFS, HIVE, Starburst, Linux command-line, Oracle query ... Seeking a senior developer with strong skills in Hadoop, Spark. Oracle SQL and Linux. The role also ...

New

Redolent, Inc.

Sr. Pega Developer

Plano, TX · On-site

$53.75 - $70.50/hr

This role is for a hands-on Senior Pega Developer responsible for the Base team for Pega ... Knowledge of Kafka, Hadoop, Selenium, Microservices, and APIs * Experience with deployment ...

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Senior Hadoop Developer information

See Addison, TX salary details

$5

$54

$72

How much do senior hadoop developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for senior hadoop developer in Addison, TX is $54.41, according to ZipRecruiter salary data. Most workers in this role earn between $52.36 and $63.32 per hour, depending on experience, location, and employer.

What is the difference between Senior Hadoop Developer vs Data Engineer?

AspectSenior Hadoop DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining Hadoop-based data processing solutionsBuilding and managing data pipelines, integrating data from various sources
Skills & CertificationsHadoop ecosystem, Java, SQL, Linux, certifications like Cloudera or HortonworksETL tools, SQL, cloud platforms, scripting, certifications like AWS or Google Cloud
Work EnvironmentData teams, software development projects, big data environmentsData infrastructure, analytics teams, cloud and on-premises environments

While both roles work with large-scale data, Senior Hadoop Developers focus on Hadoop ecosystem solutions, whereas Data Engineers build comprehensive data pipelines across various platforms. The roles often overlap but differ in scope and tools used.

What are the key skills and qualifications needed to thrive as a senior Hadoop developer?

To thrive as a Senior Hadoop Developer, you need strong expertise in big data frameworks (such as Hadoop, Spark, and Hive), advanced programming skills (Java, Scala, or Python), and a solid understanding of data modeling and distributed systems, often supported by a relevant degree. Experience with Hadoop ecosystem tools (HDFS, MapReduce, Pig, Sqoop), cloud platforms (AWS, Azure), and certifications like Cloudera or Hortonworks are commonly required. Analytical thinking, effective communication, and problem-solving abilities are key soft skills that help navigate complex data challenges and collaborate with cross-functional teams. These competencies ensure the efficient design, implementation, and optimization of scalable data solutions critical for business success.

What are some common challenges faced by senior Hadoop developers when managing large-scale data pipelines?

Senior Hadoop Developers often encounter challenges such as optimizing cluster performance, ensuring data integrity during ETL processes, and managing resource allocation across multiple jobs. They must also troubleshoot errors related to distributed computing, which requires a deep understanding of Hadoop's architecture and ecosystem tools like Hive, Pig, and Spark. Effective communication with data engineers, analysts, and DevOps teams is essential for resolving bottlenecks and maintaining efficient, scalable pipelines.

What is a senior Hadoop developer?

Senior Hadoop Developers are experienced software professionals who specialize in designing, developing, and managing large-scale data processing solutions using the Hadoop ecosystem. Their responsibilities often include building data pipelines, optimizing queries, maintaining Hadoop clusters, and ensuring data security and reliability. They work with big data technologies like HDFS, MapReduce, Hive, Pig, and Spark, and often guide junior developers or collaborate with data engineers and analysts to translate business requirements into technical solutions.

What cities near Addison, TX are hiring for Senior Hadoop Developer jobs?

Cities near Addison, TX with the most Senior Hadoop Developer job openings:

Senior Hadoop Developer jobs near you
Infographic showing various Senior Hadoop Developer job openings in Addison, TX as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,172 per year, or $54.4 per hour.

Sr. Hadoop developer (6 positions)

Atria Group LLC

Dallas, TX • On-site

Contractor

Re-posted yesterday

Job description

Company Description


 

Job Description

Sr. Hadoop developer (6 positions)

3.5+ years of experience each.

Need 6 resources.

12-36 month contracts.

Should have 3+ years of experience and an actual product or system to show for their development. Example: Utilized Hadoop Ecosystem to create a platform/system to allow __________.

  1. We are looking for an expert Hadoop developer, experienced with processing large data sets.
  2. As part of our Big Data team, you'll be immersed in a creative environment.
  3. You'll collaborate with a talented team of data scientists and developers to build large scale applications that will impact real world problems. 
  4. If you're an experienced Hadoop Developer who loves designing and working with large data sets, then this is the position for you.
  5. You'll collaborate with others to translate highly technical information into innovative solutions for our entire business.
  6. Ready to dig in? Start making an impact now.

If this sounds like you, check out the responsibilities:

  • Developing Big Data technologies such as Hadoop, NoSQL, text mining and others
  • Writing code, completing programming and documentation and performing testing and debugging of applications
  • Requires experience working with very large data sets and knowledge of building programs that everage Hadoop and MPP platforms
  • Understanding of tools like MapReduce, Sqoop and Floom
  • Knowledge of Big Data technolog and tools with the ability to share ideas among a collaborative team
Additional Information

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