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Weekend Amazon Data Engineer Jobs in Malden, MA (NOW HIRING)

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Weekend Amazon Data Engineer information

See Malden, MA salary details

$46.4K

$135.3K

$185.1K

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

As of Aug 21, 2026, the average yearly pay for weekend amazon data engineer in Malden, MA is $135,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $143,400.00 per year, depending on experience, location, and employer.

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 cities near Malden, MA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Malden, MA with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Engineer with Python and Scala (Preferred locals to NY or MA for In-person Interview)

Saransh Inc

Brighton, MA • On-site

$124K - $149K/yr

Contractor

Re-posted 26 days ago

Job description

Data Engineer
Brighton, MA / NYC, NY (Day 1 Onsite)
Long Term
 
Note: Highly locals are preferred as Client Interview requires In-person

Key Responsibilities:

  • Design, develop, and implement end-to-end big data solutions across the enterprise.
  • Develop and maintain big data applications using Apache Spark, Scala, AWS Glue, AWS Lambda, SNS/SQS, and CloudWatch.
  • Build and optimize data pipelines, ensuring high performance, scalability, and reliability.
  • Collaborate with cross-functional teams to design and document integration and application technical designs.
  • Conduct peer reviews of functional and design documentation to maintain high-quality standards.
  • Develop, configure, and perform unit testing and code reviews to ensure coding best practices.
  • Troubleshoot and resolve complex issues during testing phases and identify root causes efficiently.
  • Perform performance testing and optimize system performance.
  • Manage and maintain SQL-based databases, preferably Amazon Redshift.
  • Utilize Snowflake for data warehousing (experience in Snowflake is an added advantage).
  • Implement ETL/ELT processes and ensure data quality across various systems.
  • Work with Git repositories and manage CI/CD deployment pipelines for continuous integration and delivery.
  • Provide production support, including troubleshooting and environment tuning.
  • Ensure adherence to best practices and technical standards throughout the project lifecycle.

Required Skills & Experience:

  • 6+ years of relevant experience in big data design and development.
  • Proficiency in Scala and/or Python for application development.
  • Strong expertise in Spark, AWS Glue, Lambda, SNS/SQS, and CloudWatch.
  • Hands-on experience with ETL/ELT frameworks and data integration.
  • Advanced knowledge of SQL, with experience in Redshift preferred.
  • Familiarity with Snowflake and cloud-based data solutions is advantageous.
  • Experience with CI/CD processes, Git, and production support in large-scale environments.