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Weekend Amazon Data Engineer Jobs in Illinois (NOW HIRING)

Senior Graph Developer

River Grove, IL ยท Hybrid

$54 - $71.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Niles, IL ยท Hybrid

$54.25 - $71.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

IL ยท Hybrid

$55.50 - $73.50/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

IL ยท Hybrid

$53 - $70.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Norridge, IL ยท Hybrid

$54.25 - $71.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Hillside, IL ยท Hybrid

$53.50 - $70.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Berkeley, IL ยท Hybrid

$53.75 - $71.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Elmhurst, IL ยท Hybrid

$54.25 - $71.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

River Forest, IL ยท Hybrid

$52.75 - $69.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Park Ridge, IL ยท Hybrid

$53.75 - $70.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Elmwood Park, IL ยท Hybrid

$53.25 - $70.50/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Wood Dale, IL ยท Hybrid

$54.25 - $71.75/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Rosemont, IL ยท Hybrid

$55 - $72.50/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

Senior Graph Developer

Melrose Park, IL ยท Hybrid

$53.25 - $70.25/hr

The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge ...

... Amazon data center. The ideal candidate is a self-starter, highly motivated individual with a ... Overtime pay after 8 hours and weekend work is available too). There is potential for schedule ...

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Weekend Amazon Data Engineer information

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

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 Illinois? The most popular types of Amazon Data Engineer jobs in Illinois are:
What cities in Illinois are hiring for Weekend Amazon Data Engineer jobs? Cities in Illinois with the most Weekend Amazon Data Engineer job openings:

Senior Graph Developer

Long Finch Technologies

Franklin Park, IL โ€ข Hybrid

$54.25 - $71.50/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are seeking an experienced Senior Graph Developer to design, build, and scale enterprise-level graph database solutions. The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and reduce AI hallucinations.

Required Qualifications
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Data Science, Information Architecture, or a related technical field.
  • 10+ years of professional experience in software engineering, data engineering, or graph technology development.
  • Extensive hands-on experience designing, implementing, and managing production-scale Amazon Neptune graph database environments.
  • Strong expertise in graph query languages such as SPARQL and/or Gremlin.
  • Strong experience designing and developing data engineering and ETL pipelines.
  • Practical experience implementing GraphRAG solutions and integrating knowledge graphs with AI/ML workflows.
  • Advanced programming experience in Python or JVM-based languages such as Java or Scala.
  • Strong understanding of AWS cloud services, including:
    • Amazon Neptune
    • AWS S3
    • Amazon RDS
    • Amazon ECS
  • Experience designing enterprise ontologies, taxonomies, and graph schemas.
Preferred Qualifications
  • Experience with Generative AI integration and LLM-based applications.
  • Experience building backend APIs and services.
  • Experience integrating graph databases with vector databases and hybrid search architectures.
  • Strong understanding of knowledge graph modeling and semantic technologies.
  • Experience working with large-scale distributed systems.
Key Responsibilities
  • Design and develop enterprise ontologies, taxonomies, and graph schemas representing complex business domains.
  • Architect, configure, monitor, and scale Amazon Neptune environments capable of handling billions of relationships.
  • Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin.
  • Build and maintain data ingestion frameworks and ETL pipelines for graph-based applications.
  • Integrate knowledge graphs into GraphRAG pipelines to improve AI response accuracy, contextual grounding, and reduce hallucinations.
  • Partner with AI/ML teams to implement hybrid search solutions combining graph traversal capabilities with vector database technologies.
  • Develop scalable backend services and APIs supporting graph-powered applications.
  • Collaborate with architecture, engineering, and business teams to translate complex requirements into scalable graph solutions.
  • Ensure reliability, security, and performance of graph database infrastructure.