1

Weekend Amazon Data Engineer Jobs in Connecticut

The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock ...

Area Manager II

Windsor, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

Area Manager - Manchester, CT

Manchester, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Area Manager II

Windsor, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

Area Manager II

North Haven, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

EHS Specialist

Plainfield, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

EHS Specialist

Wallingford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

EHS Specialist

Windsor, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

Area Manager - II - Plainfield, CT

Plainfield, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Area Manager

Glastonbury, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Area Manager

Glastonbury, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Area Manager - II - Plainfield, CT

Plainfield, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Showing results 41-60

Weekend Amazon Data Engineer information

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Connecticut?

The most popular types of Amazon Data Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Weekend Amazon Data Engineer jobs?

Cities in Connecticut with the most Weekend Amazon Data Engineer job openings:

AI Developer

Kanak Elite Services Inc

Conantville, CT • On-site

Contractor

Re-posted 21 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : AI Developer
Location          : Greenwich, CT Hybrid (Need local candidate)
Duration         : 6+ Months
Interview        : ONSITE INTERVIEW IS A MUST

Description

  • The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock, SageMaker, Lambda, and S3) and AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
  • You will collaborate with data engineering and application development teams to build intelligent, scalable, and secure AI solutions integrated into enterprise systems

Key Responsibilities

  • Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based frameworks.
  • Good to have experience on building AI Agents.
  • Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications.
  • Support deployment, monitoring, and lifecycle management of AI models following MLOps best practices.
  • Work closely with cross-functional teams to integrate AI components into applications and workflows.
  • Assist in evaluating and adopting emerging AI tools and frameworks to improve system performance.
  • Maintain code quality, documentation, and adherence to security and scalability standards.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
  • 3–5 years of experience in software or AI development.
  • Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Hands-on experience with AWS cloud services (Bedrock, SageMaker, Lambda, API Gateway).
  • Knowledge of LLMs, embeddings, and vector databases (Pinecone, FAISS, etc.).
  • Understanding of SQL/NoSQL databases and data integration techniques.
  • Strong problem-solving and communication skills.