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Hadoop Python Jobs in Missouri (NOW HIRING)

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO

$52.25 - $69/hr

... as HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.) * Database Technology - (Postgres, Mongo ...

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

... as HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.) * Database Technology - (Postgres, Mongo ...

Walmart

Senior Manager, Supplier to Serve

Cassville, MO · On-site

$80K - $155K/yr

SQL and Python * GenAI tools and AI-assisted development (prompt engineering, rapid prototyping ... Familiarity with big data concepts (Spark, Hadoop) and visualization tools (Tableau, Power BI ...

Walmart

Senior Manager, Supplier to Serve

Noel, MO · On-site

$80K - $155K/yr

SQL and Python * GenAI tools and AI-assisted development (prompt engineering, rapid prototyping ... Familiarity with big data concepts (Spark, Hadoop) and visualization tools (Tableau, Power BI ...

Walmart

(USA) Senior Manager, Supplier To Serve

Noel, MO · On-site

$80K - $155K/yr

Build reusable analytics frameworks and dashboards using SQL, Python, Dataiku, Tableau, Power BI ... Familiarity with big data concepts (Spark, Hadoop) and visualization tools (Tableau, Power BI ...

Walmart

Senior Manager, Supplier to Serve

Anderson, MO · On-site

$80K - $155K/yr

SQL and Python * GenAI tools and AI-assisted development (prompt engineering, rapid prototyping ... Familiarity with big data concepts (Spark, Hadoop) and visualization tools (Tableau, Power BI ...

TekWissen LLC

IT Data Engineer (Entry)

Creve Coeur, MO · On-site

$58/hr

Strong Python coding skills for development and visualizations, including experience with standard ... Familiarity with NOSQL tools like Hadoop (hive, pig, presto) and PySpark * Experience with virtual ...

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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 Missouri? For Hadoop Python jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Missouri look for? The top searched job categories for Hadoop Python jobs in Missouri are:
What cities in Missouri are hiring for Hadoop Python jobs? Cities in Missouri with the most Hadoop Python job openings:
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Missouri as of June 2026, with employment types broken down into 6% Internship, 83% Full Time, 4% Part Time, 6% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Hadoop Developer

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

Senior Hadoop Developer to develop, create, and modify general computer applications software or specialized utility programs.
Job responsibilities and duties include:
  • Implement data analytics processing algorithms on Big Data batch and stream processing frameworks (e.g. Hadoop MapReduce, Python, Spark, Scala, Kafka etc.).
  • Perform data acquisition, preparation, and perform analysis leveraging a variety of data programming techniques in Spark using Scala.
  • Work on complex issues where analysis of situations and data requires an in-depth evaluation of variable factors.
  • Load data from different datasets and decide on which file format is efficient for a task. Hadoop Developers source large volumes of data from diverse data platforms into Hadoop platform.
  • Install, configure, and maintain enterprise Hadoop environment.
  • Build distributed, reliable, and scalable data pipelines to ingest and process data in real-time. Hadoop Developers deals with fetching impression streams, transaction behaviors, clickstream data, and other unstructured data.
  • Define Hadoop Job Flows and manage Hadoop jobs using Scheduler.
  • Review and manage Hadoop log files.
  • Design and implement column family schemas of Hive and HBase within HDFS
  • Assign schemas and create Hive tables with suitable formats and compression techniques.
  • Mentor Big Data Developers on best practices and strategic development.
  • Develop efficient Pig and Hive scripts with joins on datasets using various techniques.
  • Apply different HDFS formats and structure like Parquet, Avro, etc. to speed up analytics.
  • Fine tune Hadoop applications for high performance and throughput.
  • Troubleshoot and debug any Hadoop ecosystem run time issues.
  • Develop and document technical design specifications.
  • Design and develop data integration solutions (batch and real-time) to support enterprise data platforms including Hadoop, RDBMS, and NoSQL.
  • Lead technical meetings, as required, and convey ideas clearly and tailor communication based on selected audience (technical and non-technical).
  • Implement Spark Streaming architecture and integration with JMS queue with custom receivers.
  • Develop and deploy API services in Java Spring.
  • Create Hive and HBase data source connection to Spring.
  • Implement multi-threading in Java/Scala.

This position has no direct reports and does not supervise any other personnel.
Minimum requirements:
Bachelor's degree in Computer Science, Applied Computer Science, Engineering, or any related field of study, plus at least two (2) years of experience in the job offered or in any related position(s).
Qualified applicants must also have demonstrable proficiency, skill, experience, and knowledge with the following:
1.Hadoop/Big Data Ecosystem and Architecture
2.Hive, Spark, HBase, Sqoop, Impala, Kafka, Flume, Oozie, and MapReduce
3.Programming experience in Java, Scala, Python, and Shell Scripting
4.SQL and Data modelling
Work from home benefit offered.

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