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Hadoop Python Jobs in Connecticut (NOW HIRING)

R2 Technologies Corporation

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Strong knowledge of analysis tools such as Python, R, Spark or SAS, Shell scripting, R/Spark on Hadoop or Cassandra preferred. Strong knowledge of data pipelining software e.g., Talend, Informatica ...

TecTammina

Big Data Technology Architect

Hartford, CT

$64.25 - $82.75/hr

Company Description First IT Solutions Well-versed with the concepts of Hadoop framework Should have Java and Python scripting knowledge Should have worked on Map reduce programs Should be ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

... AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments ... Expert-level skills in AWS services, Snowflake, Python, and Spark (certifications are a plus)

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Java or Scala and Python * 3+ years of working experience in Apache Spark, PySpark, Apache Airflow * 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB ...

The Hartford

Senior Staff Data Engineer

Hartford, CT · Hybrid

$135K - $202K/yr

Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka ... Must be familiar with ETL using Pyspark/Python/snowflake native features * Must be familiar with ...

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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 Connecticut? For Hadoop Python jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Connecticut look for? The top searched job categories for Hadoop Python jobs in Connecticut are:
What cities in Connecticut are hiring for Hadoop Python jobs? Cities in Connecticut with the most Hadoop Python job openings:
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Connecticut as of July 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Hadoop Architect (Full Time)

Next Level Business Services, Inc.

Groton, CT • On-site

Full-time

Re-posted 16 days ago

Job description

Job Description

Position Title: Hadoop Architect

Location: Groton, CT

Hire Type: Full Time Only  


Job Description:-

Hands on experience with distributed application architecture and implementation using MapR or other Hadoop Distribution 

Hands on experience with Hadoop Ecosystem particularly Spark, Drill, Impala, Python, R 

Exposure to Teradata or Any other DWH 

Hands on experience using Linux and scripting 

Performance tuning 

Hands on Architect who can understand the use cases, design and develop PoC. 

Excellent Communication & presentation skill 

Ability to work with offshore team as needed 

Handling different file formats in Hadoop Ecosystem 

Preferably data management background and experience


Desirable Technical Skills

Exposure to analytics and data science tools 

Experience with Ansible Scripting, Storm, Zepplin, Impala


Mandatory Functional Skills

Exposure to life sciences and Pharma domain


Desirable Functional Skills

Experience of working in Pharma domain using any Hadoop Distribution


Thanks,

Ajay Singh


Additional Information

All your information will be kept confidential according to EEO guidelines.

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About Next Level Business Services

Sourced by ZipRecruiter

We are one of the fastest growing transformational workforce solution providers headquartered in Atlanta, with presence across 15 global locations. Powered by the largest organic talent supplementation engine, strong digital capabilities and 8000+ strong team, NLB Services helps global enterprises reimagine their businesses to thrive in the digital age.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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