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Weekend Amazon Data Engineer Jobs in Georgia (NOW HIRING)

Kiewit

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110K - $132K/yr

Work with data engineers to define optimized data contracts * Analyze and troubleshoot end-to-end ... Work overtime and weekends as required. • FIELD ROLES ONLY May work at various different ...

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Weekend Amazon Data Engineer information

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 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 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 popular job titles related to Weekend Amazon Data Engineer jobs in Georgia? For Weekend Amazon Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Georgia look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Weekend Amazon Data Engineer jobs? Cities in Georgia with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Lead Data Platform Engineer - Astronomer / Airflow

Lead Data Platform Engineer - Astronomer / Airflow

Computer Task Group, Inc

Atlanta, GA

$110K - $132K/yr

Full-time

Posted 17 hours ago

Job description

Overview

CTG is seeking to fill a Lead Data Platform Engineer – Astronomer / Airflow position for our client.

Location: Atlanta, GA
Duration: 12 months

Duties:

  • Lead L2/L3 support for enterprise Astro (Astronomer-managed Apache Airflow) environments.
  • Own Incident, Problem, and Change Management processes for the Data Orchestration Platform.
  • Perform advanced root cause analysis (RCA) for pipeline failures, scheduler issues, worker instability, and infrastructure bottlenecks.
  • Improve DAG reliability, SLA adherence, and reduce MTTR across critical data workflows.
  • Establish and maintain operational standards, including support playbooks, runbooks, and escalation procedures.
  • Design and maintain dynamic DAG frameworks (Factory pattern) to enable scalable pipeline onboarding.
  • Enable automated onboarding of new data domains, data sources, and transformation workloads.
  • Support and optimize complex ETL/ELT workflows across Data Lakes (S3-based architectures) and Data Warehouses (e.g., Snowflake, Amazon Redshift).
  • Collaborate with data engineering, platform, and DevOps teams to ensure stable, scalable orchestration services.
  • Provide technical guidance and support on open-source platform implementation, customization, and integration.

Skills:

  • Deep expertise in Astronomer-managed Apache Airflow (Astro) environments.
  • Strong Python development skills for DAGs, operators, plugins, and automation frameworks.
  • Experience with ETL/ELT pipeline design and distributed data processing patterns.
  • Proficiency with AWS cloud services including EKS, S3, RDS, IAM, CloudWatch, and VPC.
  • Kubernetes operational experience (Airflow on EKS or equivalent).
  • Infrastructure-as-Code experience (Terraform or CloudFormation preferred).
  • Strong knowledge of CI/CD pipelines, Git-based workflows, and deployment automation.
  • Familiarity with data platforms such as Snowflake and Amazon Redshift.
  • Strong analytical and troubleshooting skills for distributed systems.

Experience:

  • Proven experience supporting and operating enterprise-scale Airflow/Astro environments.
  • Experience leading production incident response, RCA, and operational reliability improvements.
  • Hands-on experience building scalable DAG frameworks and reusable pipeline templates.
  • Background in cloud-native data engineering and platform operations.
  • Experience optimizing performance, scaling workloads, and improving orchestration efficiency.
  • Prior experience in enterprise data platform support or SRE/DataOps roles strongly preferred.

Education:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:
To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

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About Computer Task Group

Sourced by ZipRecruiter

We know that achieving our mission begins and ends with our people—and by people we mean you. Regardless of individual roles or responsibilities, regardless of industry or subject matter expertise, our lives happen in relation to other people—our colleagues, clients, and partners. CTG cultivates a workplace that attracts and develops the best people. Being Great Place to Work-CertifiedTM not only supports our Vision but also validates the rewarding workplace culture that has made CTG a leading IT and digital solutions and services company for more than 55 years.

Company size

1,001 - 5,000 Employees

Headquarters location

Buffalo, NY, US

Year founded

1966

Social media

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