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Hadoop Python Jobs in Texas (NOW HIRING)

Apex Informatics

Hadoop Developer

Addison, TX · On-site

Hadoop Developer with Python Duration: 12 Months plus Location: Hybrid - Addison, TX Must Have skills: Hadoop, Python/Scala, SparkSQL • Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK ...

MM International

Hadoop Developer

Addison, TX · On-site

Python Required Qualifications * 8+ Years of IT experience with 5+ Years of relevant experience in developing solutions using Python and Hadoop technologies * Good programming knowledge with Hadoop ...

Sarian Solutions

Hadoop Developer

Plano, TX

... Python, Kerberos/Active Directory/LDAP, etc. * Minimum 3+ years of related database development experience, including Data Architect experience working with 'Big Data' technologies such as Hadoop, ET ...

Programmers.io

Hadoop Admin

Austin, TX · On-site

Preferred exposure in Java/Python/Scala * Preferred exposure in OpenSearch * Preferred experience to support Open-Source Production Kafka/Hadoop/Druid clusters. * Follow the sun model 24*7 including ...

Zortech Solutions

Hadoop Developer

Addison, TX · On-site

Hadoop ,Spark,(Scala or Python) • Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL • Data ingestion experience from message queue, file share, REST API, relational database, etc ...

AditiStaffing

Hadoop Developer

Irving, TX

Excellent skills in Python and R * Hands-on development experience with Hadoop and tools such as Hive, Sqoop, Pig, Impala, Parkour, Kafka, and Spark * Hands on experience on Core Java in Linux ...

Sonsoft Inc

Hadoop Administration

Austin, TX · On-site

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in ... Experience in Shell and Perl scripting and exposure to Python * Knowledge of Troubleshooting Core ...

Palnar

Hadoop Data Engineer

Austin, TX · On-site

5+ years of development and maintenance experience with Hadoop eco-system (Spark, Oozie, HDFS, Yarn ... Good to have experience with Python scripting and AWS, Airflow

Programmers.io

Hadoop Cloudera Engineer

Irving, TX · On-site

Hadoop & Cloudera , Ecosystem (CDP/CDH, HDFS, YARN, MapReduce) * Spark & Data Processing(Spark Core ... Programming (Python / Scala / Shell) * Data Storage & File Formats (Parquet, Avro,ORC, JSON)

Sonsoft Inc

Hadoop Administration ( Lead )

Austin, TX · On-site

... Python Knowledge of Troubleshooting Core Java Applications is a plus Exposure to Real-time ... Hadoop Ecosystem and Clusters maintenance as well as creation and removal of nodes Perform ...

Lorven Technologies

Hadoop/ETL developer

Plano, TX · On-site

... Python. • 3+ years of experience in running, using and troubleshooting the ETL & Cloudera Hadoop Ecosystem i. e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. • ...

smart folks inc

Hadoop Admin at Austin, TX

Austin, TX · On-site

Role : Hadoop Admin Location : Austin - Texas (Onsite) Full time . Experience with managing and ... languages Python, Java or full stack development. · Familiarity with big data tools (Big Data ...

Sonsoft Inc

Hadoop - Developer

Irving, TX · On-site

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

Sonsoft Inc

Hadoop Developer

Austin, TX

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures. * Experience with some framework building experience on Hadoop * Very good ...

Sonsoft Inc

Hadoop Developer

Plano, TX · On-site

Good experience with at least one of the scripting language like Scala, Python. * Good exposure to BigData architectures . * Experience with some framework building experience on Hadoop * Very good ...

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All JobsHadoop Python JobsHadoop Python Jobs in Texas

Hadoop Python information

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in managing big data infrastructure, requiring skills in Hadoop ecosystem tools, Linux, and scripting. It offers opportunities in data management, analytics, and cloud environments, with demand driven by data-driven business needs. Certifications like Cloudera or Hortonworks can enhance job prospects.

Are Python still in demand in 2026?

Python remains highly in demand for roles like Hadoop Python developers, as it is widely used for data processing, scripting, and automation in big data environments. Its versatility and strong community support ensure continued relevance, especially when combined with skills in Hadoop, Spark, and cloud platforms.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows Python scripts to process data within Hadoop jobs. Additionally, frameworks such as PySpark enable Python developers to work with Apache Spark on Hadoop clusters for big data processing. Knowledge of these tools is beneficial for Hadoop Python roles.

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

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

What is the highest paying job in Python?

The highest paying Python-related jobs include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or scikit-learn. These positions typically offer salaries exceeding $120,000 annually, especially with experience and relevant certifications.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.
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What cities in Texas are hiring for Hadoop Python jobs? Cities in Texas with the most Hadoop Python job openings:
Hadoop Python jobs near you
Hadoop Developer

Hadoop Developer

Apex Informatics

Addison, TX • On-site

Contractor

Re-posted 13 days ago

Job description

Hadoop Developer with Python
Duration: 12 Months plus
Location: Hybrid - Addison, TX
Must Have skills: Hadoop, Python/Scala, SparkSQL
• Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL
• Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml
• Experience working with SPARK Structured steaming
• Experience working with Hadoop/Big Data and Distributed Systems
• Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
• Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few
• Performance tuning experience with spark /MapReduce or SQL jobs
• Experience and proficiency with Linux operating system is a must
• Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
• Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
• Experience using Source Code and Version Control systems like SVN, Git, Bit Bucket etc.
• Experience working with Jenkins and Jar management
• Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
• Ability to comprehend customer requests and provide the correct solution
• Strong analytical mind to help take on complicated problems
• Desire to resolve issues and dive into potential issues
• Ability to adapt and continue to learn new technologies is important

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