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Weekend Amazon Data Engineer Jobs in Utah (NOW HIRING)

Pattern

Staff Software Engineer, Predict

Lehi, UT · Hybrid

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Gain deep exposure to global marketplace APIs (Amazon, Walmart, etc.) and solve world-class scaling ...

Pattern

Staff Software Engineer, Predict

Lehi, UT · Hybrid

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Gain deep exposure to global marketplace APIs (Amazon, Walmart, etc.) and solve world-class scaling ...

Pattern

Staff Software Engineer, Predict

Lehi, UT · On-site

Are you obsessed with data, partner success, taking action, and changing the game? If you have a ... Gain deep exposure to global marketplace APIs (Amazon, Walmart, etc.) and solve world-class scaling ...

Boeing

Mid-Level DevOps Developer

Salt Lake City, UT · On-site

Collaborate with architecture, data engineering, and platform teams to support multi-cloud ... Experience managing containerized workloads on Kubernetes platforms such as Amazon EKS, Azure AKS ...

Boeing

Mid-Level DevOps Developer

Salt Lake City, UT · On-site

Collaborate with architecture, data engineering, and platform teams to support multi-cloud ... Experience managing containerized workloads on Kubernetes platforms such as Amazon EKS, Azure AKS ...

VAST Data

Customer Support Engineer

Lehi, UT · On-site +1

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is ... Rotational weekend shift once every 8-12 weeks and occasional holiday coverage.

Boeing

Senior DevOps Developer

Salt Lake City, UT · On-site

$125.80K - $161.60K/yr

Collaborate with architecture, data engineering, and platform teams to support multi-cloud ... Experience managing containerized workloads on Kubernetes platforms such as Amazon EKS, Azure AKS ...

Boeing

Senior DevOps Developer

Salt Lake City, UT · On-site

$125.80K - $161.60K/yr

Collaborate with architecture, data engineering, and platform teams to support multi-cloud ... Experience managing containerized workloads on Kubernetes platforms such as Amazon EKS, Azure AKS ...

Epicor

Senior Product Developer | Data Platform

Lehi, UT · Hybrid

$51.25 - $67.50/hr

As a Senior Full Stack Software Engineer at Epicor, you will be responsible for designing, building ... Handson experience with cloud development and message queues, including AWS Lambda, Amazon SQS, and ...

Epicor

Senior Product Developer | Data Platform

Lehi, UT · Hybrid

$51.25 - $67.50/hr

As a Senior Full Stack Software Engineer at Epicor, you will be responsible for designing, building ... Handson experience with cloud development and message queues, including AWS Lambda, Amazon SQS, and ...

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Weekend Amazon Data Engineer information

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 does a typical weekend look like for an 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 Weekend Amazon Data Engineers?

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 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 popular job titles related to Weekend Amazon Data Engineer jobs in Utah? For Weekend Amazon Data Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Utah look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Utah are:
What cities in Utah are hiring for Weekend Amazon Data Engineer jobs? Cities in Utah with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Application Developer

Application Developer

RICEFW Technologies, Inc.

Salt Lake City, UT • On-site

Contractor

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

Job description

Job Title: Senior Java Developer (Business Automation & AI)
We are seeking a Java Developer (3-5 years) to join our team and contribute experience and technical expertise to our business logic and self-service support systems. You will be responsible for maintaining and migrating complex business rules using Drools and Kogito. Simultaneously building out our next-generation AI Chatbot infrastructure. A key focus of this role is the digital transformation of our legacy documentation (Adobe RoboHelp) into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) architectures.
Key Responsibilities:
  • Business Automation: Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices.
  • AI Implementation: Architect and manage AWS Bedrock Knowledge Bases, ensuring the LLM provides accurate, context-aware responses.
  • Data Pipeline & ETL: Build automated pipelines to extract, clean, and convert legacy Adobe RoboHelp content into optimized Markdown/Vector formats stored in Amazon S3.
  • Backend Development: Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.
  • Cloud Orchestration: Deploy and scale business automation services within a Kubernetes/OpenShift environment.

Required Technical Skills:
  • Java Mastery: 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
  • Rule Engines: Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Cloud Native Automation: Proven experience with Kogito for building cloud-native business processes.
  • AWS AI/ML Stack: Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
  • **Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
  • Documentation Transformation: Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
  • Modern DevOps: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

Preferred Qualifications:
  • Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus).
  • Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing).
  • Knowledge of BPMN 2.0 standards.
  • AWS Certified Developer or AWS Machine Learning Specialty certification.

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