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Weekend Amazon Data Engineer Jobs in Portland, ME

Compunnel

Senior Software Engineer

Westbrook, ME · On-site

$124K - $164K/yr

Partner with Data Scientists to productionize machine learning and computer vision models, and ... MLflow, Amazon AWS (EC2, S3, Lambda), containerization technologies such as Docker, and ...

EnviroLogix

Software Engineer

Portland, ME · On-site

... including Amazon Web Services and client-to-cloud data flows is a plus • Experience with Elixir and/or React programming or troubleshooting is a plus • Additional skills training and ...

EnviroLogix

Software Engineer

Portland, ME

Experience with cloud integrations including Amazon Web Services and client-to-cloud data flows is a plus * Experience with Elixir and/or React programming or troubleshooting is a plus Qualification ...

MasTec Industrial

Field Engineer

Portland, ME · On-site

... longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec's Clean ... Generate change orders and as-built data to be reviewed by the Project Manager. * Drive the ...

MasTec Industrial

Field Engineer

Portland, ME · On-site

... longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec's Clean ... Generate change orders and as-built data to be reviewed by the Project Manager. * Drive the ...

MasTec Industrial

Field Engineer

Portland, ME · On-site

... longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec's Clean ... Generate change orders and as-built data to be reviewed by the Project Manager. * Drive the ...

MasTec Industrial

Field Engineer

Portland, ME · On-site

... longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec's Clean ... Generate change orders and as-built data to be reviewed by the Project Manager. * Drive the ...

MasTec Industrial

Field Engineer

Portland, ME · On-site

$70K - $110K/yr

... longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec's Clean ... Generate change orders and as-built data to be reviewed by the Project Manager. * Drive the ...

MasTec Industrial

Field Engineer

Portland, ME · On-site

$70K - $110K/yr

... longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec's Clean ... Generate change orders and as-built data to be reviewed by the Project Manager. * Drive the ...

MasTec Industrial

Sr. Project Engineer

Portland, ME · On-site

$102K - $133K/yr

... weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec Industrial ... Direct Field Engineers to gather and prepare data for submittal or transmittal to the customer ...

New

MasTec Industrial

Sr. Project Engineer

Portland, ME · On-site

$102K - $133K/yr

... weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec Industrial ... Direct Field Engineers to gather and prepare data for submittal or transmittal to the customer ...

New

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Portland, ME

Weekend Amazon Data Engineer information

See Portland, ME salary details

$45.5K

$132.7K

$181.6K

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

As of Aug 3, 2026, the average yearly pay for weekend amazon data engineer in Portland, ME is $132,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,700.00 per year, depending on experience, location, and employer.

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 Portland, ME? For Weekend Amazon Data Engineer jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Portland, ME look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Portland, ME are:
Weekend Amazon Data Engineer jobs near you

Senior Software Engineer

Compunnel

Westbrook, ME • On-site

$124K - $164K/yr

Contractor

Posted 17 days ago

Job description

We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations team in Client's R&D AI Center of Excellence. In this role, you will build and operate the infrastructure that turns Data Scientists' models into production systems - from scalable training and inference pipelines to optimized on-device deployment on edge hardware. The Machine Learning Operations team supports all projects in the Center of Excellence, including Client's inVue Dx's computer vision and microscopy-based diagnostics, and you will contribute to high impact problems.
Job Description:
Partner with Data Scientists to productionize machine learning and computer vision models, and implement scalable, efficient training and inference pipelines
Optimize models for performance and scalability, including GPU/CUDA-level tuning and edge/embedded inference optimization (e.g., TensorRT, DLA)
Work with software engineers and Data Scientists to integrate ML models into production systems on the cloud and at the edge
Collaborate with Data Scientists to identify and analyze data requirements
Develop and implement data preprocessing and feature engineering pipelines
Build and maintain infrastructure-as-code for ML platforms and deployments
Stay up to date with the latest developments in machine learning, computer vision, and MLOps
Required Skillsets:
Previous experience in machine learning as evidenced by delivering solutions into production
Excellent software engineering skills including a test-driven mindset
Strong programming skills in Python and Spark
Experience with distributed computing frameworks such as Ray, and ML frameworks such as PyTorch and modern foundation/vision models
Experience with ML tech stacks, including Databricks (including Databricks Asset Bundles), MLflow, Amazon AWS (EC2, S3, Lambda), containerization technologies such as Docker, and infrastructure-as-code tools including Terraform and CloudFormation
Experience optimizing and deploying models for GPU or edge inference (CUDA, TensorRT); familiarity with NVIDIA edge platforms (Jetson Orin/Thor) and tooling (Nsight, DeepStream SDK) a plus
Familiarity with computer vision and/or microscopy/scientific imaging data a plus
Experience creating and deploying applications to AWS Lambda
High level of comfort with Linux
Experience with SQL
Strong problem-solving and analytical skills
Excellent communication and collaboration skills.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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