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Weekend Amazon Data Engineer Jobs in Rochester, NY

Sr. AI FDE

Rochester, NY · On-site

$145K - $165K/yr

... of DevSecOps, SRE, and FinOps principles. • Experience architecting data platforms and ... e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

It will also focus on monitoring coating performance, evaluating run data and metrology results ... Key Responsibilities * Assist with the execution of the weekend team plan including authoring a ...

Manufacturing Engineer - Coating

Fairport, NY · On-site

$69K - $89K/yr

It will also focus on monitoring coating performance, evaluating run data and metrology results ... Key Responsibilities * Assist with the execution of the weekend team plan including authoring a ...

Manufacturing Engineer - Coating

Fairport, NY · On-site

$69K - $89K/yr

It will also focus on monitoring coating performance, evaluating run data and metrology results ... Key Responsibilities * Assist with the execution of the weekend team plan including authoring a ...

Manufacturing Engineer - Coating

Fairport, NY · On-site

$69K - $89K/yr

It will also focus on monitoring coating performance, evaluating run data and metrology results ... Key Responsibilities * Assist with the execution of the weekend team plan including authoring a ...

... Amazon Web Services, and Google Cloud Platform, including integrations * Provide hands-on support ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

... overnight, weekends and holidays - 7+ years direct management experience, including a salaried ... in Engineering, Operations or related field. MBA preferred Amazon is an equal opportunity employer ...

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Weekend Amazon Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

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

As of Jun 26, 2026, the average yearly pay for weekend amazon data engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 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 the most commonly searched types of Amazon Data Engineer jobs in Rochester, NY? The most popular types of Amazon Data Engineer jobs in Rochester, NY are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Rochester, NY look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Weekend Amazon Data Engineer jobs? Cities near Rochester, NY with the most Weekend Amazon Data Engineer job openings:

$145K - $165K/yr

Full-time

Posted 4 days ago


Job description

Job Description
At MegazoneCloud, we help the world's most innovative companies adopt AI that actually delivers - not pilots that stall, but production systems that get used. As an AI Forward Deployed Engineer (FDE), you embed directly with global clients to drive the adoption of leading AI platforms and agentic developer tooling: generative and agentic AI solutions on AWS and Google Cloud, and agentic coding tools from Anthropic (Claude Code), OpenAI (Codex), and AWS (Kiro).
You sit at the intersection of engineering and customer success - rapidly prototyping, integrating with client environments, and owning solutions from proof-of-concept through production and into real, measured adoption. This is an ownership role: you are accountable for outcomes that stick, not just deliverables that ship. You'll apply best-practice automation - infrastructure as code (IaC), CI/CD, and DevSecOps - to deliver AI workloads that meet demanding performance, security, and cost-efficiency targets.
Key Responsibilities
• Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations - owning the outcome end to end.
• Design, build, and deploy LLM-powered applications - including RAG pipelines, agentic workflows, and orchestration frameworks - integrated with client data stores, APIs, and security controls.
Stand up the AWS and Google Cloud environments needed for AI services - enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering with dedicated cloud engineers for deeper foundational account and landing-zone setup.
Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity.
Lead adoption and change management - build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered.
Define and instrument success - adoption, business impact, and ROI metrics - and iterate post-launch until targets are met.
• Rapidly prototype proofs-of-concept and iterate them into production-grade systems alongside the customer.
• Establish reusable accelerators, reference implementations, and AI delivery harnesses applicable across engagements.
• Champion shift-left security, responsible AI, and FinOps practices for AI workloads, including token-cost and model-routing discipline.
• Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers.
• Serve as an escalation point during go-live and hyper-care.
• Support pursuit teams with solution diagrams, scoping, and engagement estimation.
• Present technical vision and adoption strategy to C-suite and enterprise architects.
• Publish blog posts, white papers, and internal knowledge articles.
Qualifications
• 8-10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform - AWS or Google Cloud preferred (Azure a plus).
• Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) - prompt engineering, RAG, and agentic systems.
• Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization.
• Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go).
• Proven client-facing communication skills - able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence.
• Experience mentoring engineers.
• Strong grasp of DevSecOps, SRE, and FinOps principles.
• Experience architecting data platforms and integrating AI/ML services.
• Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on AWS and/or Google Cloud - self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers.
• Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases.
• Experience leading technology-adoption or developer-enablement programs is a strong plus.
• Bachelor's degree in Computer Science or similar.
• Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred); AI/ML specialty certifications a plus.
Why You'll Love It Here
  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.