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Hadoop Python Jobs in Connecticut (NOW HIRING)

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 ...

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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 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 August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Sr ETL Architect

Windsor, CT • On-site

Cloud Analytics Technologies, LLC
IT Services • 51 - 200 employees
Learn more about Cloud Analytics Technologies, LLCexternal

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This job post has expired today. Applications are no longer accepted.

Job description

About the Role

We are seeking an experienced ETL Architect with strong expertise in Snowflake and AWS Cloud ecosystem to design, develop, and optimize data integration solutions. The ideal candidate will be responsible for architecting scalable ETL pipelines, enabling efficient data movement, transformation, and integration across enterprise systems to support business intelligence, analytics, and advanced data initiatives.

Key Responsibilities
  • Design and implement ETL architecture, frameworks, and best practices for large‑scale data integration projects.
  • Architect and optimize Snowflake‑based data warehouse solutions including schema design, performance tuning, and query optimization.
  • Lead the migration of existing data platforms to AWS cloud‑native solutions.
  • Develop robust data pipelines using ETL/ELT tools, SQL, and Python/Scala.
  • Integrate data from diverse sources (databases, APIs, streaming platforms, flat files, SaaS applications).
  • Implement data governance, metadata management, and security best practices across data pipelines.
  • Collaborate with data engineers, analysts, and business stakeholders to ensure high‑quality, reliable data delivery.
  • Drive automation of data workflows, monitoring, and error handling.
  • Provide technical leadership, mentoring, and architectural guidance to engineering teams.
Required Skills & Qualifications
  • 10+ years of experience in data engineering, ETL development, or data architecture.
  • Proven expertise with Snowflake (Data Modeling, Virtual Warehouses, Query Performance Tuning, Security & Access Control).
  • Strong knowledge of AWS services such as S3, Redshift, Glue, Lambda, EC2, RDS, CloudFormation, and IAM.
  • Hands‑on experience with ETL/ELT design and implementation using tools like Informatica, Talend, Matillion, AWS Glue, or equivalent.
  • Strong programming and scripting skills (SQL, Python, Shell, Scala or Java).
  • Solid understanding of data lake and data warehouse architectures.
  • Experience with streaming technologies (Kafka, Kinesis, Spark Streaming) is a plus.
  • Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) for data deployments.
  • Excellent problem‑solving, communication, and leadership skills.
Preferred Qualifications
  • Snowflake certification (SnowPro Architect/Advanced).
  • Experience with modern data orchestration frameworks (Airflow, dbt, Step Functions).
  • Background in big data ecosystems (Hadoop, Spark).

Equal Opportunity Employer

CLOUD ANALYTICS TECHNOLOGIES is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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