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Weekend Amazon Data Engineer Jobs in Alabama (NOW HIRING)

May be requested to work evenings and weekends to meet program and contract needs. * Amount of ... Data Engineering * Four years of relevant Program Management experience Education * Bachelor ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Work closely with network engineers and IT staff to support smooth data center operations ... May require after-hours, weekend, or on-call work to support operational needs.

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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 the most commonly searched types of Amazon Data Engineer jobs in Alabama? The most popular types of Amazon Data Engineer jobs in Alabama are:
What cities in Alabama are hiring for Weekend Amazon Data Engineer jobs? Cities in Alabama with the most Weekend Amazon Data Engineer job openings:
Software Engineer - Containerized Applications

Software Engineer - Containerized Applications

Quality Business Engineering

Huntsville, AL • On-site

Full-time

Re-posted 3 days ago


Job description

Job Type
Full-time
Description
This position requires an ACTIVE security clearance.
This position can be performed remote from anywhere, but may require up to 15% travel.
As a skilled and dynamic Software Engineer, you will be responsible for designing and developing software for containerized cloud applications in support of the U.S. Army's energy and water use metering program. The total solution is considered a system-of-systems with developed applications integrating with the Army enterprise cloud and data environment. You will work closely with cross-functional teams to ensure seamless integration and optimal performance.
KEY RESPONSIBILITIES:
Software Engineering:
  • Elicit requirements and engineer implementations for containerized applications using industry best practices and container technologies such as Docker.
  • Design, implement, and test containers using approved base images or from scratch to meet architectural and security requirements.
  • Write design and unit test documentation.

Software Development:
  • Employ mid-level software development expertise and best coding practices in designing and writing complex full-stack software to run in containers using various modern programming languages such as Python, Typescript/JavaScript, Java, C++, or C#.
  • Improve knowledge about relevant technologies and skills researching them to augment and streamline development.

Orchestration:
  • Design orchestration platform configuration according to relevant government hosting systems to scale containerized applications, aggregate data across instances, ensure resilience and fault tolerance, and deliver high availability with a minimal attack surface.
  • Develop appropriate mechanisms, scripts, and configurations to ensure robust and scalable deployments and upgrades, and to support monitoring and self-healing capabilities.

Collaboration and Support:
  • Work with SecDevOps and platform administration teams to implement their infrastructure requirements, obtain support for approved base containers, and troubleshoot deployment and other issues of a cross-cutting concern.

Security and Compliance:
  • Ensure that containers are built using best security practices, and conduct vulnerability assessments, ensure compliance with government and industry standards.

#qf
#qg
Requirements
REQUIRED QUALIFICATIONS:
  • Bachelor's degree in computer science, or another STEM field (or equivalent experience).
  • Minimum of 1-5 years of hands-on experience developing containerized applications.
  • Minimum of 5-7 years of hands-on experience developing complex software.
  • Proficiency in programming languages like Python, Typescript/JavaScript, Java, C++, or C#., or similar.
  • Experience designing configurations for container orchestration platforms such as Kubernetes, OpenShift, Docker Swarm, or similar.
  • Experience with microservices architectures in containerized applications as well as how to interface with external systems.
  • Understanding of network and security concepts related to containerized environments and zero trust architecture.
  • Excellent problem-solving abilities, attention to detail, and debugging skills.
  • Ability to work independently and in an agile, collaborative team environment.
  • Active US Government Clearance at Secret level or higher.
  • Effective written and verbal communications skills for collaboration with both customers and fellow team members.
  • Ability to sit for extended periods of time and regularly lift at least 25 pounds.
  • Ability to commute to the designated onsite work location.
  • Ability to regularly lift at least 25 pounds.
  • Ability to commute to the designated onsite work location as required.

PREFERRED QUALIFICATIONS:
  • Advanced STEM degree.
  • Familiarity with the IEEE Software Body of Knowledge (SWEBOK).
  • Experience with container registry services (e.g., Docker Hub, Amazon ECR).
  • Familiarity with container hosting platforms (AWS, Azure, GCP) and their services.
  • Experience using DevOps pipelines in a continuous integration/continuous delivery (CI/CD) environment.
  • Familiar with Tactical connectivity challenges and tactical edge applications.
  • Working knowledge of DoD mission partners.
  • Security+ certification

QBE is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, gender-identity and/or expression, age, disability, Veteran status, genetic information, pregnancy (including childbirth, lactation, or other related medical conditions), marital-status, neurodivergence, ethnicity, ancestry, caste, military/uniformed service-member status, or any other characteristic protected by applicable federal, state, local, or international law.