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Weekend Amazon Data Engineer Jobs in Rochester, NY

MegazoneCloud US

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves ... AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data ...

Pwc

Data Engineer - Manager

Rochester, NY · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Senior Associate

Rochester, NY

$77K - $202K/yr

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

Amazon

Sr Manager, Operations - AMZ11127.7

Rochester, NY · On-site

$135K - $182K/yr

... data analysis, logistics engineering, or related occupation. In the alternative, employer will ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Amazon

Operations Manager

Rochester, NY · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager - Rochester, NY

Rochester, NY · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Area Manager II

Rochester, NY · On-site

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

MegazoneCloud

Sr. Full Stack Engineer

Rochester, NY · On-site

$145K - $165K/yr

Data engineering & analytics enablement. Pipelines, transformation layers, and reporting datasets ... Operationalize GenAI workloads on Amazon Bedrock and comparable services - retrieval, prompt and ...

MegazoneCloud US

Sr. AI FDE

Rochester, NY · On-site

$54.50 - $70.25/hr

They are seeking a Senior AI Forward Deployed Engineer to work directly with clients, driving the ... AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data ...

Amazon

Security and Loss Prevention Expert, NA

Rochester, NY · On-site

$51K - $70K/yr

Identify vulnerabilities and conduct root cause analysis using data to define mitigating actions ... This role covers 24/7 operations and must be able to work all shifts, including nights, weekends ...

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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 Aug 6, 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.

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 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 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:
Weekend Amazon Data Engineer jobs near you

Data Engineer

MegazoneCloud US

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves designing, building, and maintaining data pipelines and infrastructure on AWS, while collaborating with cross-functional teams to tackle complex data challenges.
Responsibilities:
• Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS.
• Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
• Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges.
• Collaborate and multiply: Work as a 'force multiplier' within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects.
• Be a flexible builder: Embrace a 'builder' mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive.
Qualifications:
Required:
• 3-5+ years of professional data engineering experience.
• 2-3+ years of hands-on experience with Python.
• 2-3+ years of hands-on experience with SQL.
• Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
• Solid experience building and managing data solutions on AWS.
• Proven experience in data wrangling and building robust data pipelines.
• A 'builder' mindset, a startup mentality, and a genuine thirst for knowledge.
• Exceptional communication skills and the flexibility to think fast.
• A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Preferred:
• Experience with GenAI, AI/ML frameworks, and MLOps.
• Certifications in Databricks, Snowflake, or AWS.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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