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Weekend Amazon Data Engineer Jobs in Lansing, MI

Senior Industrial Engineer

Lansing, MI · On-site

$43.25 - $59.25/hr

The ideal candidate is a data-driven problem solver who thrives in a competitive, fast-paced and ... Support project implementation and plant initiatives including off shift or weekends as needed ...

New

CNC Programmer

Williamston, MI · On-site

$23 - $31.50/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Willingly to work overtime and on the weekends when needed * Knowledge and experience with feature ... Download required data into CAM software * Create CNC milling programs using WorkNc, Surfcam and ...

CNC Programmer

Williamston, MI · On-site

$23 - $31.50/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Willingly to work overtime and on the weekends when needed * Knowledge and experience with feature ... Download required data into CAM software * Create CNC milling programs using WorkNc, Surfcam and ...

Showing results 21-40

Weekend Amazon Data Engineer information

See Lansing, MI salary details

$45.1K

$131.6K

$180K

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

As of Aug 12, 2026, the average yearly pay for weekend amazon data engineer in Lansing, MI is $131,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $139,500.00 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 Lansing, MI are hiring for Weekend Amazon Data Engineer jobs? Cities near Lansing, MI with the most Weekend Amazon Data Engineer job openings:

Maintenance Mechanical Engineer(Korean Bilingual)

Btisolutions

Lansing, MI

Full-time

Posted 5 days ago


Job description

Maintenance Mechanical Engineer(Korean Bilingual)- General Description

We are seeking a highly motivated, entry-level Mechanical Engineer to join our EV Battery Technology team. This role focuses on equipment reliability, preventive maintenance, and support of manufacturing systems used in EV battery development, including automation, robotics, inspection systems, and data acquisition equipment.

The Mechanical Engineer will work closely with engineering, production, and external partners to support maintenance, troubleshooting, and continuous improvement of mechanical and electromechanical systems, ensuring safe and efficient operations.

This position requires fluency in both Korean and English to support collaboration with Korean-speaking stakeholders and global teams.


- Key Responsibilities
  • Perform and support preventive and corrective maintenance for production and laboratory equipment to ensure operational reliability

  • Assist with installation, setup, troubleshooting, and improvement of mechanical and electromechanical systems

  • Collaborate with engineering teams on automation systems and equipment enhancements

  • Support automation equipment, industrial computers, and related system infrastructure

  • Coordinate maintenance activities and troubleshooting efforts with production teams

  • Maintain accurate documentation of maintenance activities, equipment performance, and improvement actions
    Work with external vendors on equipment repairs, diagnostics, and system upgrades

  • Ensure all work is completed in compliance with safety, quality, and environmental standards

  • Participate in continuous improvement initiatives to enhance equipment efficiency and reliability


- Qualifications
  • Korean and English bilingual proficiency required

  • Bachelor's degree in Mechanical Engineering or related engineering field

  • 0-5 years of experience in manufacturing, automation, or equipment support environments (entry-level candidates welcome)

  • Basic understanding of mechanical systems, industrial equipment, and production processes

  • Exposure to automation systems, industrial controls, or robotics preferred

  • Familiarity with Windows-based industrial systems and basic networking is a plus

  • Ability to work flexible schedules, including nights, weekends, and overtime as needed

Why work at BTI?

We're committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.

We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.