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Hadoop Python Jobs in Oregon (NOW HIRING)

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$134K - $180K/yr

Java, C#, Python) * Experience with gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.) * Experience building machine learning infrastructure ...

$114K - $137K/yr

... like Hadoop and Spark. * Proficient and experienced in analyzing, designing, and developing ... Experience in at least one programming language such as Python, Java, Scala or Powershell.

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$466K - $750K/yr

Python, TensorFlow, PyTorch Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop Excellent interpersonal, written, and verbal communication skills Preferred, but not required: Proven experience ...

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Hadoop Python information

Is Hadoop a good career?

Hadoop Python roles involve working with big data processing using Hadoop frameworks and Python programming. These jobs are in demand in data-driven industries, often requiring knowledge of distributed systems, data analysis, and related tools like Spark or Hive. Careers in this field can offer growth opportunities with relevant certifications and experience in data engineering or analytics.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows developers to write MapReduce jobs in Python. Additionally, frameworks such as PySpark enable Python integration with Apache Spark, often used alongside Hadoop for big data processing. Knowledge of these tools is valuable 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.

What is the salary of Hadoop engineer?

The salary of a Hadoop engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in big data tools and programming languages like Python can command higher salaries in this field.

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 Oregon? For Hadoop Python jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Oregon look for? The top searched job categories for Hadoop Python jobs in Oregon are:

Senior Software Engineer - ETL, Java

RevSpring, Inc.

Portland, OR โ€ข On-site

$129K - $171K/yr

Full-time

Posted 21 days ago


Job description

Job Title: Senior Software Engineer - ETL, Java
Essential Functions:
  • Collaborate with teams across the organization, including product managers, data engineers and business leaders to translate requirements into software solutions to process large amounts of data.
  • Develop new ways to ensure ETL and data processes are running efficiently.
  • Write clean, maintainable, and reusable code that adheres to best practices and coding standards.
  • Conduct thorough code reviews and provide constructive feedback to ensure high-quality codebase.
  • Optimize software performance and ensure scalability and reliability.
  • Stay up-to-date with the latest trends and advancements in data processing and ETL development and apply them to enhance our products.
  • Meet with product owners and other stakeholders weekly to discuss priorities and project requirements.
  • Ensure deployment of new code is tested thoroughly and has business sign off from stakeholders as well as senior leadership.
  • Handle all incoming support requests and errors in a timely manner and within the necessary time frame and timezone commitments to the business.

Minimum Requirements:
Specific Job Skills:
  • 7+ years of experience with Java 11+(required), managing and working in Maven projects
  • 2+ years of experience with Python (required)
  • Knowledge and understanding of complex data pipelines utilizing ETL processes (required)
  • 4+ years of experience using relational databases and deep knowledge of SQL with the ability to understand complex data relationships and transformations (required)
  • Knowledge and understanding of Git (required)
  • 3+ year of experience with various GCP technologies
    • Google Dataflow (Apache Beam SDK) (equivalent Hadoop technologies)
    • BigQuery (equivalent of any data warehouse technologies: Snowflake, Azure DW, Redshift)
    • Cloud Storage Buckets (equivalent to S3)
    • GCloud CLI
  • Experience with Apache Airflow / Google Composer
  • Knowledge and understanding of Docker, Linux, Shell/Bash and virtualization technologies
  • Knowledge and understanding of CI/CD methodologies
  • Ability to understand and build UML diagrams to showcase complex logic

Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.