ZipRecruiter

Log In

1

Hadoop Python Jobs in Ohio (NOW HIRING)

Navtech, Inc.

GCP Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

... Java, Python and SQL. • Experience designing and deploying large scale distributed data ... MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Veica, Netezza, Teradata, Tableau, Qlik or ...

KeyBank

Business Analytics Sr Assoc

Brooklyn, OH · On-site

$80K - $150K/yr

Work with large datasets - using standard tools such as Python, Hadoop, R, SQL, SAS and Google Cloud - to solve business problems; Analyze and resolve anomalies discovered when using quantitative ...

KeyBank

Sr. Business Analytics (GIS)

Brooklyn, OH · On-site

$80K - $150K/yr

Work with large datasets - using standard tools such as Python, Hadoop, R, SQL, SAS and Google Cloud - to solve business problems; Analyze and resolve anomalies discovered when using quantitative ...

Keybank

Sr. Business Analytics (GIS)

Brooklyn, OH · On-site

$80K - $150K/yr

Work with large datasets - using standard tools such as Python, Hadoop, R, SQL, SAS and Google Cloud - to solve business problems; Analyze and resolve anomalies discovered when using quantitative ...

Keybank

Business Analytics Sr Assoc

Brooklyn, OH · On-site

$80K - $150K/yr

Work with large datasets - using standard tools such as Python, Hadoop, R, SQL, SAS and Google Cloud - to solve business problems; Analyze and resolve anomalies discovered when using quantitative ...

Booz Allen Hamilton

Data Scientist

Dayton, OH · On-site

$99 - $225/hr

Experience in the develop ment of algorithms leveraging R, Python, or SQL / NoSQL * Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi ...

previous page

Showing results 41-60

All JobsHadoop Python JobsHadoop Python Jobs in Ohio

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 Ohio?

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

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

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

What cities in Ohio are hiring for Hadoop Python jobs?

Cities in Ohio with the most Hadoop Python job openings:

Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 73% Physical, 6% Hybrid, and 21% Remote job distribution.

Manager Program Evaluation & Analytics-Population Health Analytics

MetroHealth

Cleveland, OH

Full-time

Posted 20 days ago

Job description

Location: METROHEALTH MEDICAL CENTER
Biweekly Hours: 80.00
Shift: 8a-5p
The MetroHealth System is redefining health care by going beyond medical treatment to improve the foundations of community health and well-being: affordable housing, a cleaner environment, economic opportunity and access to fresh food, convenient transportation, legal help and other services. The system strives to become as good at preventing disease as it is at treating it. Founded in 1837, Cuyahoga County's safety-net health system operates four hospitals, four emergency departments and more than 20 health centers.
Summary:
Leads the strategy, operations and execution of population health analytics, reporting, and program evaluation, with a particular focus on state-directed payment programs and other value-based incentives. Directs the evaluation and operational analytics for complex population health programs, ensuring timely, high-quality insights for both internal leaders and external stakeholders. Collaborates closely with system leadership, state coalitions, and external stakeholders to support program oversight, compliance, performance measurement and continuous improvement. Upholds the mission, vision, values, and customer service standards of The MetroHealth System.
Qualifications:
Required:
  • Bachelor's degree in Mathematics, Statistics, Public Health, Computer Science, Operations Research or related field and 8 years of progressive development/analytical experience.
  • In lieu of degree, 10+ years of progressive development/analytical experience.
  • Experience with an electronic medical record (EMR) system, i.e. Epic, Cerner.
  • Expert knowledge of programming with SQL.
  • Proficient in one of the following languages: C#, Python, or R. Expert in designing program evaluation, research, and business reporting.
  • Experience with Agile development/management methodology.
  • Experience with Continuous Integration/Continuous Delivery.
  • Experience with data visualization approaches (i.e,. Tableau, RMarkdown, shiny).
  • Ability to interact effectively with a wide range of cultural, ethnic, racial, and socioeconomic backgrounds.

Preferred:
  • 12 years of progressive development/analytical experience.
  • Experience with one or more of the following: Kronos, Infor/Lawson, EPSi.
  • Knowledge of machine learning, data mining, and predictive analytics.
  • Experience with Big Data technologies (i.e,. Hadoop, Spark, Hive, Pig, Sqoop, Flume, Oozie).
  • Experience with Cloud (i.e., Azure, AWS).
  • Knowledge of statistics, simulation, and data modeling.

Physical Demands:
  • May sit, stand, stoop, bend, and ambulate intermittently during the day.
  • May need to sit or stand for extended periods.
  • See in the normal visual range with or without correction.
  • Hear in the normal audio range with or without correction.
  • Ability to communicate face-to-face, phone, email and other communications.
  • Ability to read job related documents.
  • Ability to use a computer.

Apply