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Hadoop Python Jobs in Missouri (NOW HIRING)

Required: Strong coding experience (e.g., Java, C#, Python). * Experience gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.). * Experience ...

Senior AI Engineer

O Fallon, MO · On-site

$115 - $184/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Python, PySpark, SQL, and distributed data processing. * Hands-on experience with ... Hands-on experience with Databricks, Airflow, Hadoop, Linux/Unix, cloud-native technologies

Lead Service Management Engineer

O Fallon, MO · On-site

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands-on work with AWS, Azure, or GCP using cloud-native processing and storage services (e.g ...

Lead Service Management Engineer

O Fallon, MO · On-site

$122 - $207/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands‑on work with AWS, Azure, or GCP using cloud‑native processing and storage services ...

New

Lead Service Management Engineer

O Fallon, MO · On-site

$95K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Handson work with AWS, Azure, or GCP using cloudnative processing and storage services (e.g ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Python, PySpark, SQL, and distributed data processing. -Hands-on experience with feature engineering, large-scale data processing, and analytics. -Hands-on experience with Databricks, Airflow, Hadoop ...

(USA) Staff, Data Scientist

Noel, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Experience in Python with excellent knowledge of Data Structures * Strong Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, Scala, Spark) * Hands on experience with Git

(USA) Staff, Data Scientist

Anderson, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Experience in Python with excellent knowledge of Data Structures * Strong Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, Scala, Spark) * Hands on experience with Git

(USA) Staff, Data Scientist

Cassville, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Experience in Python with excellent knowledge of Data Structures * Strong Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, Scala, Spark) * Hands on experience with Git

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 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:

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.

Solutions Architect - AI Natives Business, Strategic Databricks Remote - California; Remote - C[...]

Neura Market

California, MO • On-site

$180 - $248/hr

Other

Posted 6 days ago


Job description

As a Solutions Architect on the AI native team supporting the Strategic Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:
  • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
  • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
  • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
  • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
What we look for:
  • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • Experience building distributed data systems
  • Comfortable programming in and debugging Python and SQL
  • Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise in one of the following:
    • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
    • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow)
  • Available to travel to customers in your region
  • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
  • Nice to have: Databricks Certification
  • Location: Remote (Pacific Time preferred; Mountain Time considered).
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$180,000 — $247,500 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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