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Weekend Amazon Data Engineer Jobs in Worcester, MA

SS&C Technologies

Principal Data Engineer

Waltham, MA · On-site

Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience ... data engineering experience * 5+ years of hands-on experience with Apache Kafka and event-driven ...

SS&C

Principal Data Engineer

Waltham, MA · Hybrid

Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases * Experience ... data engineering experience * 5+ years of hands-on experience with Apache Kafka and event-driven ...

SESHENG LLC

Mid-Level Cloud Engineer

Waltham, MA · On-site

$60.25 - $80.25/hr

Position Overview We are seeking a highly skilled, data-focused Mid-Level Cloud Engineer for a ... services like Amazon SageMaker, Bedrock, or integrated partner platforms). * Industry Domain ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Worcester, MA

Weekend Amazon Data Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

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 Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 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 Worcester, MA? For Weekend Amazon Data Engineer jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Worcester, MA look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Weekend Amazon Data Engineer jobs? Cities near Worcester, MA with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Principal Data Engineer

Principal Data Engineer

Fidelity Investments

Smithfield, RI • On-site

$155K/yr

Full-time

Posted 26 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description


Position Description:
Architects, crafts, and develops highly scalable distributed data processing systems and software applications. Writes and optimizes SQL queries and stored procedures using SQL, PL/SQL, Java, Python, and Shell scripting languages for development of data pipelines. Incorporates and streamlines test automation into software application builds, using Continuous Integration/Continuous Delivery (Cl/CD) methodologies - Jenkins, Terracore, GitHub and uDeploy. Creates data driven business solutions using data warehousing, mart concepts, and relational databases -- Oracle, SQL Server, and Snowflake on Amazon Web Services (AWS) Cloud. Implements and supports databases in an Amazon Web Services (AWS) Cloud Infrastructure environment. Creates and maintains database schemas and objects such as tables, views, indexes, and triggers for easy access of database systems. Confers with systems analysts and other software engineers/developers to design systems and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
Primary Responsibilities:
  • Develops applications on complex projects, components, and subsystems for the division.

  • Troubleshoots and resolves issues with databases and related systems.

  • Ensures the delivery of effective, efficient, and high-quality data movement and data integration patterns.

  • Ensures the scalability, reliability, performance, and security of the databases by performing database tunes and optimization techniques.

  • Monitors and optimizes database performance by implementing various database designs and models techniques.

  • Advises senior management on technical strategy.

  • Acts as a primary liaison for business units to resolve various project/technology issues.

  • Develops comprehensive documentation for multiple applications or subsystems.

  • Develops or directs software system tests or validation procedures, programs, or documentation.

  • Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.

  • Mentors junior team members.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing and building highly scalable Business Intelligence (BI) and analytical solutions on Cloud and on-premise platforms in a financial services environment, using Data Warehouse and Mart techniques.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing and building highly scalable Business Intelligence (BI) and analytical solutions on Cloud and on-premise platforms in a financial services environment, using Data Warehouse and Mart techniques.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing and building Data Warehouses and performing Extract, Transform, and Load (ETL) development, using Oracle, PL/SQL, Informatica, Control-M, or UNIX; and building and maintaining (CI/CD) pipelines using Terracore (for application code deployment), Jenkins, GitHub, or uDeploy.

  • DE coordinating and implementing all aspects of the Software Development Lifecycle (SDLC) in support of applications deployment according to financial services standards, security requirements, software development best practices, and Agile methodologies, using JIRA for project management, and programming languages and frameworks (JavaScript, Node.js, and React).

  • DE developing Cloud-native applications and migrating on-premise data centric applications to Cloud, using Snowflake and AWS; and migrating data to and from Snowflake data stores by designing and implementing performant ETL/Extract Load, and Transform (ELT) pipelines in Cloud environments, using Python, Snowflake, and SnowSQL.

  • DE developing effective data solutions that meet end user demands on Snowflake, using Spark SQL and Python; and classifying, analyzing, and governing data assets to ensure data quality and compliance, using Alation and Collibra.

Salary: $155,325.00 to $ 166,000.000/year.
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Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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