1

Hadoop Python Jobs in Arizona (NOW HIRING)

BigData Developer

Phoenix, AZ · On-site

$51.50 - $67/hr

Big Data /Hadoop , SPARK , Python , Strong SQL ,GCP Roles & Responsibilities: Develop and maintain data pipelines using BigData processes Focus on ingesting, storing, processing, and analyzing large ...

AIA BFS - Senior Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Sr. Bigdata Engineer with Python Spark SQL Shell scripting. Skill Set : HDFS Spark Hive MapReduce Scala JAVA Linux Spring SVN/GIT HBase Detailed working experience in Big Data technologies (Hadoop ...

AIA BFS - Senior Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Sr. Bigdata Engineer with Python Spark SQL Shell scripting. Skill Set : HDFS Spark Hive MapReduce Scala JAVA Linux Spring SVN/GIT HBase Detailed working experience in Big Data technologies (Hadoop ...

... Hadoop and cloud-based data platforms. * 3+ years of experience designing and implementing data ... Python * PySpark * SQL * Experience with Google Cloud Platform (Google Cloud Platform) services ...

Preferred At least 4 year of experience in Core JAVA or Python At least 1 year of experience in Hadoop OR Spark At least 1 year of experience in HBASE OR, Cassandra At least 0.5 year of experience in ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

PySpark & Spark Python Hadoop Ecosystem SQL Data Engineering & ETL Development DataFrame-based Processing Large-Scale Data Processing Enterprise Big Data Platforms Agile Methodologies Nice-to-Have ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... HBase, Spark, Hadoop, HDFS) • Experience with Python web frameworks such as Django or Flask Company : "Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data ...

... Hadoop (MapR, Cloudera) dev ops scripting/automation - unix bash shel, python, chef Qualifications Bachelor's Additional Information All your information will be kept confidential according to EEO ...

... Hadoop (MapR, Cloudera) dev ops scripting/automation - unix bash shel, python, chef Qualifications Bachelor's Additional Information All your information will be kept confidential according to EEO ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing ... Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python ...

Showing results 41-60

Hadoop Python information

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

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.

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 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 are jobs in Hadoop Python?

Jobs in Hadoop Python typically involve developing and maintaining data processing tasks using Python scripts within the Hadoop ecosystem. These roles often require knowledge of Hadoop frameworks like MapReduce or Spark, along with Python programming skills, to handle large-scale data analysis and processing tasks. They may also involve working with distributed systems and data pipelines in a big data environment.

What are popular job titles related to Hadoop Python jobs in Arizona?

For Hadoop Python jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Hadoop Python jobs in Arizona look for?

The top searched job categories for Hadoop Python jobs in Arizona are:

What cities in Arizona are hiring for Hadoop Python jobs?

Cities in Arizona with the most Hadoop Python job openings:

Senior Software Engineer (Python, DBT, ETL)

RevSpring Inc

Phoenix, AZ • On-site

$130 - $170/hr

Other

Re-posted 3 days ago


Job description

Consumer Markets Drive action. Create impact.

At RevSpring, we build secure, outcomes-driven solutions that turn insight into action — streamlining engagement, simplifying payments, and driving better results. Join a diverse team focused on innovation, impact, and customer success.

Position:Senior Software Engineer (Python, DBT, ETL) Location: Phoenix, AZ
Job Id:1294 # of Openings:1 Job Title: Senior Software Engineer (Python, DBT, ETL)

What you will do in a Senior Software Engineer (Python, DBT, ETL) role at RevSpring:
  • 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.
  • Design, build, and maintain data pipelines in Python and data transformations in DBT, ensuring ETL and data processes run efficiently and reliably.
  • Build and maintain integrations for healthcare data using FHIR and related standards.
  • 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 time zone commitments to the business.
What you will bring:
  • 5+ years of experience building data pipelines with Python (required)
  • Hands-on experience building data models and transformations with DBT (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+ years of experience with BigQuery and other GCP-native technologies (preferred)
    • Google Dataflow (Apache Beam SDK) (equivalent Hadoop technologies)
    • BigQuery (equivalent of any data warehouse technologies: Snowflake, Azure DW, Redshift, Athena)
    • Cloud Storage Buckets (equivalent to S3)
    • GCloud CLI
  • Experience with FHIR and related healthcare data standards (preferred)
  • 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
Bonus Points for Tech Enthusiasts:
  • Infrastructure as Code technologies (Pulumi, Terraform, CloudFormation)
  • Experience with observability and logging platforms (DataDog)
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 accommodation 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.
#J-18808-Ljbffr