1

Weekend Amazon Data Engineer Jobs in Birmingham, AL

OnDemand Delivery Driver

Irondale, AL · On-site

$14.25 - $17.75/hr

Most deliveries will occur after 5 PM, including weekends and holidays. Occasional deliveries may ... Own a smartphone (iOS or Android) with data plan for using the Gohfr app * Valid U.S. driver ...

OnDemand Delivery Driver

Irondale, AL · On-site

$15.75 - $19.75/hr

Own a smartphone (iOS or Android) with data plan for using the Gohfr app * Valid U.S. driver ... Experience with other gig platforms (e.g., Uber, DoorDash, Amazon Flex) highly desirable * Pass ...

... weekend assignments. Essential Skills * Bachelor's degree in environmental science, biology ... Familiarity with data management practices related to environmental and compliance studies.

Availability outside standard business hours, including evenings, weekends, and holidays, may be ... Kafka Caching/Data Stores: Redis, ESS Operating Systems: Linux/Unix, Windows Server, could include ...

Availability outside standard business hours, including evenings, weekends, and holidays, may be ... Caching/Data Stores: Redis, ESS * Operating Systems: Linux/Unix, Windows Server, could include ...

Showing results 21-40

Weekend Amazon Data Engineer information

See Birmingham, AL salary details

$41.7K

$121.6K

$166.4K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for weekend amazon data engineer in Birmingham, AL is $121,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $128,900.00 per year, depending on experience, location, and employer.

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 cities near Birmingham, AL are hiring for Weekend Amazon Data Engineer jobs? Cities near Birmingham, AL with the most Weekend Amazon Data Engineer job openings:

Junior Automation Engineer - Casting

Magna

Birmingham, AL • On-site

Full-time

Posted 10 days ago


Job description

Job descriptions may display in multiple languages based on your language selection.
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market.
Job Responsibilities:
Key Competencies
• Technical curiosity and willingness to learn from senior engineers and skilled trades.
• Strong attention to detail when working with electrical systems, controls logic, and machine documentation.
• Clear communication skills with the ability to explain technical issues to non-technical team members.
• Sense of urgency when supporting production downtime or equipment-related issues.
• Commitment to safety, quality, teamwork, and continuous improvement.
Work Environment and Physical Requirements
• Work is performed in both office and automotive manufacturing plant environments.
• May be exposed to noise, moving equipment, heat, fumes, dust, and other conditions commonly found in manufacturing operations.
• Must be able to stand, walk, bend, reach, climb stairs, and access equipment areas as needed.
• Will be required to wear personal protective equipment, including safety glasses, hearing protection, gloves, steel-toe shoes, and other equipment as required by the work area.
• May require occasional overtime, off-shift, weekend, or on-call support based on production and project needs.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of hire. Candidates who currently hold valid work authorization under a TN or H-1B visa may be considered, provided they are authorized to work for this employer without requiring new or additional visa sponsorship. The company is unable to sponsor new employment-based visas or other immigration sponsorship for this position.
Equal Employment Opportunity
The company is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other legally protected status.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Cosma International