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Weekend Amazon Data Engineer Jobs in South Carolina

Incedo Inc

Data Engineer AWS OpenSearch

Fort Mill, SC · On-site

$100K - $120K/yr

Data Engineer AWS OpenSearch Location: Fort Mill, SC Hybrid Job Summary We are seeking an ... Strong experience with AWS OpenSearch (formerly Amazon Elasticsearch Service). * Strong SQL and ...

Amazon

Senior Automation Engineer

Fountain Inn, SC · On-site

$92K - $121K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... weekends, nights, and/or holidays - 4+ years of process or production environment related PLC ...

Raas Infotek LLC

AI/ML Engineer

Fort Mill, SC · On-site

Develop data preprocessing, feature engineering, model training, validation, and evaluation ... Experience with Azure OpenAI, AWS Bedrock, Amazon SageMaker, Azure Machine Learning, or Vertex AI

Marencor

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

Deep knowledge of Amazon S3, Apache Iceberg, AWS Glue Data Catalog, and Lake Formation for data ... Expertise in building and managing RESTful APIs and secured endpoints via API Gateway DevOps & CI ...

Amazon

Operations Manager

West Columbia, SC · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Program Manager III - AMZ27254.1

Charleston, SC · On-site

$145K - $155K/yr

Amazon.com Services LLC Position: Program Manager III - AMZ27254.1 Location: Charleston, SC ... facilitate appropriate engineering solutions. Develop system requirements to streamline and ...

Amazon

Mechatronics & Robotics Tech

Spartanburg, SC · On-site

Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind ... weekends, nights, and/or holidays - certification from Amazon's Mechatronics and Robotics ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in South Carolina

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 South Carolina?

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

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

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

Weekend Amazon Data Engineer jobs near you

Data Engineer AWS OpenSearch

Incedo Inc

Fort Mill, SC • On-site

$100K - $120K/yr

Other

Posted 21 days ago

Job description

Job Title: Data Engineer AWS OpenSearch

Location: Fort Mill, SC Hybrid

Job Summary

We are seeking an experienced Data Engineer with strong expertise in AWS OpenSearch to design, develop, and maintain scalable data pipelines and search solutions. The ideal candidate will have hands-on experience with AWS data services, OpenSearch, Python, SQL, and cloud-native architectures to support analytics and real-time search capabilities.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using AWS services.
  • Build and optimize AWS OpenSearch clusters for indexing, search, and analytics.
  • Develop ETL/ELT pipelines using Python, SQL, and AWS services such as Glue, Lambda, and EMR.
  • Design and maintain OpenSearch indexes, mappings, analyzers, and query performance.
  • Integrate OpenSearch with upstream and downstream applications for real-time search and analytics.
  • Work with structured and semi-structured data from multiple data sources.
  • Optimize OpenSearch cluster performance, shard allocation, indexing, and query execution.
  • Implement Infrastructure as Code (Terraform or CloudFormation) for AWS resources.
  • Build monitoring and alerting using CloudWatch, Grafana, or Prometheus.
  • Collaborate with Data Scientists, Data Analysts, and application teams to support data and search requirements.
  • Implement security best practices, IAM policies, encryption, and access controls.
  • Troubleshoot production issues and optimize system performance.

Required Skills

  • 5+ years of experience as a Data Engineer.
  • Strong experience with AWS OpenSearch (formerly Amazon Elasticsearch Service).
  • Strong SQL and Python programming skills.
  • Experience with AWS services:
    • OpenSearch
    • S3
    • Glue
    • Lambda
    • IAM
    • CloudWatch
    • EC2
    • EMR
    • Step Functions
    • Kinesis (preferred)
  • Experience building ETL/ELT pipelines.
  • Experience with Docker and Kubernetes (preferred).
  • Knowledge of distributed search architecture, indexing strategies, and query optimization.
  • Experience with Git, CI/CD, and Infrastructure as Code (Terraform or CloudFormation).
  • Familiarity with Agile/Scrum methodologies.

Preferred Qualifications

  • Experience with Apache Spark or PySpark.
  • Experience with Kafka or Amazon MSK.
  • Experience with Snowflake, Redshift, or Databricks.
  • Experience working with large-scale distributed systems.
  • AWS Certification (Solutions Architect, Data Analytics, or Developer) is a plus.
  • Experience with observability tools such as Grafana, Prometheus, or Splunk.

Nice to Have

  • Vector search and semantic search using OpenSearch.
  • OpenSearch Dashboards/Kibana.
  • Machine Learning integrations with OpenSearch.
  • Experience with GenAI/RAG search architectures.
  • Healthcare, Financial Services, or Retail domain experience.

Primary Technologies: AWS OpenSearch, Python, SQL, AWS Glue, Lambda, S3, Terraform, Docker, Kubernetes, CloudWatch, Git, CI/CD, Spark/PySpark.

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