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Weekend Amazon Data Engineer Jobs in Chattanooga, TN

... nights, weekends, and holidays * Mentor Engineering Co-ops to sustain the technical company ... data software (PI Vision). Keywords: mechanical project engineer, mechanical engineer, project ...

... data, video, and voice network. This role must provide complex, high-level technical support for ... After-hours and weekends will be needed for emergencies; maintenance activities and on-call will ...

... data, video, and voice network. This role must provide complex, high-level technical support for ... After-hours and weekends will be needed for emergencies; maintenance activities and on-call will ...

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Test Driver

Chattanooga, TN · On-site

$23 - $30/hr

... Engineer * Perform AdBlue and Oil additions as needed after workshop staffed hours * Exchange Data ... Work schedule based on business requirements (minimum 40 hours/week) including occasional weekends.

New

Sr. Eng, Process Control

Stevenson, AL · On-site

$95K - $123K/yr

The Senior IT/OT Systems Engineer reports to the Process Control Manager HOW YOU WILL IMPACT ... Maintains mill-wide data historian (OSIsoft Pi) and related interfaces. * Evaluates, troubleshoots ...

Sr. Eng, Process Control

Stevenson, AL · On-site

$95K - $123K/yr

The Senior IT/OT Systems Engineer reports to the Process Control Manager HOW YOU WILL IMPACT ... Maintains mill-wide data historian (OSIsoft Pi) and related interfaces. * Evaluates, troubleshoots ...

... including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate ... PhD in physics, applied physics, electrical engineering, or closely related field * Work in quantum ...

Showing results 21-40

Weekend Amazon Data Engineer information

See Chattanooga, TN salary details

$40.5K

$118.1K

$161.6K

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

As of Aug 23, 2026, the average yearly pay for weekend amazon data engineer in Chattanooga, TN is $118,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $125,200.00 per year, depending on experience, location, and employer.

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 Chattanooga, TN are hiring for Weekend Amazon Data Engineer jobs?

Cities near Chattanooga, TN with the most Weekend Amazon Data Engineer job openings:

Data Center Operations Manager, Server Operations, Hardware Operations

Google Inc.

Bridgeport, AL • On-site

$122 - $173/hr

Other

Re-posted 28 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies


Job description

Data Center Operations Manager, Server Operations, Hardware Operations

Google Bridgeport, AL, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 4 years of experience in computing infrastructure, networking, operating systems, or hardware.
  • 2 years of experience managing technical teams, vendor or contract management and delivery.
  • Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
Preferred qualifications:
  • Experience managing technical teams, vendor or contract management and service delivery.
  • Experience working in data center environments, including building and operating large-scale infrastructure, and network and compute architecture and lifecycle, and Linux/Unix system administration.
  • Experience with initiating and executing strategic initiatives in a global environment.
  • Experience with data gathering, analysis and presentation skills.
  • Track record of leading and improving Environmental Health and Safety initiatives.
  • Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
About the job

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.
Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the­‑art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.
Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $122000 - $173000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Lead a team of individuals, communicate individual and team priorities that support organizational goals to repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on issues.
  • Partner with teams to meet goals and stakeholders to manage facility activities and set/implement strategies.
  • Maintain, monitor, and execute security and operational procedures and analyze trends to identify opportunities for improvements ensuring alignment with organizational policies.
  • Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported.
  • Manage a team of Machine Learning (ML) travelers remotely and contribute and support 24/7 initiatives.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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