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Hadoop Python Jobs in Texas (NOW HIRING)

Ruri Software Technologies LLC

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Big data expert with 6+ years experience in Hadoop Big data ecosystem * Spark - Batch & Streaming (Python,Scala ) * Apache Kafka hands on experience * Experience in cloud environment, specially GCP

Apex Systems

Junior Data Engineer

Plano, TX · On-site

Snowflake Hadoop Python Data Warehousing concepts EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion ...

Tata Consultancy Service Limited

ML Engineer

Irving, TX · On-site

$125K - $140K/yr

... strong Python/PySpark experience and understanding of AL/ML models to implement AL/ML models in ... Work on productionalize the AL/ML model in Hadoop environment. Troubleshoot AI/ML Models post ...

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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.
What are popular job titles related to Hadoop Python jobs in Texas? For Hadoop Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Texas look for? The top searched job categories for Hadoop Python jobs in Texas are:
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
Python Developer - Contract $45-55 Per Hour - NO C2C

Python Developer - Contract $45-55 Per Hour - NO C2C

Icon Information Consultants

Houston, TX • On-site

$45 - $55/hr

Contractor

Re-posted 3 days ago

Job description

Company Description
A global energy services company.
Job Description
Within our Texas mass markets retail business, which includes Reliant Energy, we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. We are looking for a talented software developer to develop Python packages to streamline our analytics work; enable common, scalable analytical computing environments on demand; and deploy our reports and predictive models into production. This position is part Software Engineer, part DevOps Engineer, and part Data Engineer. If you like variety and starting projects from scratch, this is the job for you!
Responsibilities:
Essential Duties/Responsibilities:
- Develop custom Python packages to help our analysts connect to various data sources; provide convenient methods of joining and transforming data in ways common to our workflow
- Prepare a common analytics environment that analysts can deploy on demand via internal cloud or Amazon Web Services, and access via Jupyter Notebooks
- Mentoring code development best practices.
- Automate data pipelines
- Deploy predictive models and reports into production
- Manage Git Repositories
Qualifications
Education:
Degree (BS, MS, or PhD) in Computer Science, Electrical and Computer Engineering, Software Engineering, or Information Systems preferred; any STEM BS, MS or PhD with appropriate work experience will be considered.
Experience:
- 0-5 years of professional Python software design and development
- Experience with Amazon Web Services a plus
- Experience with administering an open source database such as PostgreSQL or MySQL a plus
- Experience with Hadoop/Spark a plus
- Linux administration experience a plus
Technical Skills:
- Expert-level Python programming
- Test-driven development
- Monitoring systems and data pipelines
- Proficient with the following Python packages: SQLAlchemy, flask, pandas, sphinx, and pytest
- Linux server administration
- Git
- SQL
- Continuous Integration Deployment (Gitlab-ci, Ansible, Jenkins, or equivalent)
- Containerized Environments (Docker, LXC)
Additional Knowledge, Skills and Abilities:
- Ability to design Python software from scratch
- Desire to automate everything
- Good communication skills
- Independent and self-driven worker
- Creative problem solver
Additional Information
All your information will be kept confidential according to EEO guidelines.

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