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Weekend Amazon Data Engineer Jobs in Seattle, WA

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role Overview This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics ...

Amazon

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Amazon Data Services, Inc. Position: Data Engineer II Location: Seattle, WA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

Amazon

Sr. Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

... Amazon, including millions of Prime products and our full catalog of Prime Video. The Fuse Data Analytics (DA) team is looking for a Sr. Data Engineer to influence Fuse's decisions and direction ...

Amazon

Business Intel Engineer II - AMZ27162.1

Seattle, WA · On-site

$106K - $160K/yr

Amazon Data Services, Inc. Position: Business Intel Engineer II - AMZ27162.1 Location: Seattle, WA Multiple Positions Available: Support senior management by managing metrics reporting and performing ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

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All JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Seattle, WA

Weekend Amazon Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Jun 28, 2026, the average yearly pay for weekend amazon data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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 Seattle, WA? For Weekend Amazon Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Seattle, WA look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Weekend Amazon Data Engineer jobs? Cities near Seattle, WA with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Ex Amazon Data Engineer

1 point system

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Posted 11 days ago

Job description

Role Overview

This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics components for a satellite communications service. The focus is on developing regulatory and compliance-driven data solutions, with approximately 60-70% greenfield development and the remainder enhancing existing systems. You will work within established architectural patterns to help meet regulatory obligations across multiple jurisdictions.

Key Responsibilities

  • Implement logical and physical data models and ETL/ELT pipelines to consolidate compliance data.
  • Build and maintain event-driven integration components, such as data pipelines, Lambda functions, and Step Functions workflows.
  • Implement backend services including APIs, workflow orchestrations, and dashboard backends.
  • Write, test, and deploy well-written, maintainable, and secure production code.
  • Implement data quality checks, validation, and monitoring for compliance-critical datasets.
  • Extend existing services to support new compliance requirements and jurisdictions.
  • Build components that handle sensitive regulatory data with appropriate encryption and access controls.
  • Contribute to self-service analytics through reporting tools and dashboards.
  • Maintain production systems with comprehensive monitoring, alarming, and logging.
  • Participate in code reviews, design discussions, and sprint ceremonies.

Required Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required.

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development experience building production services.

Technical Skills: Proficiency in Python, Java, or TypeScript; strong SQL skills; and experience with AWS services such as Lambda, API Gateway, Step Functions, and DynamoDB.

Preferred Qualifications

  • Experience building event-driven architectures using Step Functions, EventBridge, or SQS/SNS.
  • Experience with serverless development patterns on AWS.
  • Experience with infrastructure as code (CDK, CloudFormation).
  • Familiarity with regulatory compliance or telecommunications domains.
  • AWS certification.