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Weekend Amazon Data Engineer Jobs in 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 ...

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 ...

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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 Jul 13, 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.

Software Engineer

Software Engineer

Ensign-Bickford Industries

Portland, ME โ€ข On-site

Other

Re-posted 20 days ago


Job description

This opportunity is located within our EnviroLogix business that develops and manufactures testing solutions for detecting GMOs, mycotoxins, plant pathogens, natural toxins and chemical contaminants in multiple agricultural matrices.

Job Description

General Summary:

The principal responsibility of the Software Engineer is to develop and maintain applications that support our QuickScan platform and the diagnostic tests that use them. QuickScan is a series of integrated hardware and software reader systems used to interpret lateral flow test results for operational decision-making at detection points all along the food and feed supply chain.

The Software Engineer is responsible for the development and maintenance of QuickScan software, including the addition of new features, debugging, and cross-platform support. This position will also collaborate with back-end and front-end developers to support integration of QuickScan software with the cloud-based data management system TotalHub. There may be opportunities for hardware development. The Software Engineer brings a customer-first approach to product development, investigation, and manufacturing support with internal and external users. This is a continuing growth position in software engineering and product technology with opportunities to explore and deepen enterprise-level skills on a wide variety of software and hardware systems.

Responsibilities Include:

  • Own the development and maintenance of QuickScan, including new features, refactoring, and defect resolution

  • Build and release engineering, including toolchain setup, build outputs and release management

  • Maintain project dependencies to ensure stable, repeatable builds across development environments

  • Write and maintain developer documentation including build/run SOPs and troubleshooting playbooks

  • Diagnose and resolve production issues reported by manufacturing, field teams, and customers

  • Follow change management best practices to maintain high product quality through the lifecycle

  • Collaborate with TotalHub integration partners to support workflows, data transport, and customer UX

  • Participate in formal problem solving and continuous improvement activities to reduce process waste

  • Contribute to design and troubleshooting discussions to gather voice-of-customer feedback

  • Create and maintain development documentation to preserve knowledge across the product lifecycle

  • Take ownership of communication including consistent follow-up with internal and external customers

Skills Required:

  • Strong experience building and supporting production C++ applications

  • Strong Qt experience with Qt Widgets/Qt Quick, UI tooling, and model/view patterns

  • Strong Windows native development/build experience, including MSVC toolchain and CLI builds

  • Experience with JavaScript in production environments is required

  • Strong debugging expertise, with proven ability to isolate failures across code, libraries, and dependencies

  • Superb and timely written and verbal communication with technical and non-technical stakeholders

  • Experience with Microsoft Office and collaboration tools, including Teams

  • Demonstrated ability to create clarity through standard work and documentation

  • Agility to move from feature engineering to field support without losing quality

  • Commitment to repeatable execution across build, test, and release processes

  • Experience with Agile (Plan, Sprint, Review), formal problem solving, and continuous improvement is a plus

  • Experience using modern AI-assisted tools for debugging, documentation, and test acceleration is a plus

  • 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 Requirements:

  • Bachelor's degree in CS/SE/CE/EE (or related field) preferred

  • Minimum 3 - 4 years of experience developing and supporting C++ software in production environments

  • Additional skills training and certifications are welcome but not required

Physical Requirements:

  • Ability to lift up to 25 pounds

  • Ability to work in manufacturing, office, and laboratory environments

EnviroLogix is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to race, religion, color, sex, age, disability, sexual orientation, genetic information, national origin, or veteran status.