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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 ...

Amazon

Software Developer II, Cosmos

Westborough, MA

Are you excited about building data platforms that power the next generation of robotics at Amazon. The Cosmos team is looking for a Software Development Engineer I to help build and scale our real ...

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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 Sep 5, 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 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 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

SS&C Technologies

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

SS&C Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

149th of 247 rated software companies

Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
Principal Data Engineer
Locations: Waltham, MA - Hybrid
About the Role
We are seeking a highly skilled and hands-on Principal Data Engineer to lead the design, and development of scalable real-time data platforms and distributed data processing systems. This role requires deep expertise in Java-based backend engineering, microservices architecture, event-driven systems, Apache Kafka, Apache Flink, cloud-native platforms, and AWS technologies.
The ideal candidate will have extensive experience building enterprise-scale streaming platforms, developing resilient microservices, optimizing large-scale data pipelines, and driving engineering best practices. This role will collaborate closely with Product, Architecture, Application Development, Analytics, SRE, and DevOps teams to deliver highly scalable, reliable, and high-performance data solutions.
Why Join SS&C
SS&C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence.
You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.
How You Will Make an Impact
  • Lead the design, and development of scalable real-time data platforms and event-driven streaming solutions using Apache Kafka, Apache Flink, Java, Spring Boot, and AWS cloud-native technologies.

  • Design and implement high-performance batch and streaming data pipelines with advanced stream-processing capabilities including stateful processing, windowing, event-time processing, checkpointing, fault tolerance, and exactly once semantics.

  • Develop scalable microservices, REST APIs, reusable data frameworks, and enterprise data processing components.

  • Drive platform modernization, technical design reviews, engineering standards, and adoption of innovative technologies to improve scalability, reliability, performance, and operational efficiency.

  • Design and maintain cloud-native infrastructure, CI/CD pipelines, deployment automation, and containerized applications using Kubernetes, Docker, Terraform/CloudFormation, ECS/EKS, and AWS services including S3, MSK, Redshift, Aurora, RDS, Lambda, Glue, and CloudWatch.

  • Design optimized relational and analytical data models using Oracle, PostgreSQL, Redshift, and Aurora, including performance tuning, indexing, partitioning, and query optimization.

  • Implement observability, monitoring, alerting, logging, data quality validation, and reconciliation frameworks to ensure operational excellence and platform reliability.

  • Troubleshoot complex production issues, perform root-cause analysis, and collaborate with SRE and DevOps teams to improve platform stability, scalability, and deployment automation.

  • Provide technical leadership, mentorship, and guidance to engineering teams while driving best practices, governance, and continuous improvement initiatives.

Required Experience
  • Strong expertise in Java, Spring Boot, REST API development, and Microservices Architecture

  • Proficiency in Python is preferred; experience with Node.js is a plus

  • Strong hands-on experience with Apache Kafka, Kafka Connect, Kafka Streams, Apache Flink, and AWS MSK

  • Extensive experience designing and developing cloud-native applications on AWS

  • Solid expertise in Kubernetes, Docker, Terraform/CloudFormation, ECS, and EKS environments

  • Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases

  • Experience with data modeling, database optimization, query tuning, indexing, and performance improvement strategies

  • Proven experience developing and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Maven/Gradle, and SonarQube

  • Strong expertise in monitoring, logging, and observability tools including CloudWatch, Prometheus, Grafana, ELK Stack, and related operational frameworks

What Sets You Apart
  • Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field

  • 8+ years of software engineering or data engineering experience

  • 5+ years of hands-on experience with Apache Kafka and event-driven architectures

  • 4+ years of experience with Apache Flink and real-time stream processing

  • Strong experience designing scalable, fault-tolerant, and highly available distributed systems

  • Proven experience leading enterprise-scale platform initiatives and mentoring engineering teams

Join SS&C, where innovation meets global opportunities. Click here to apply.
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#LI-HYBRID
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.
Applications will be accepted on an ongoing basis until the position is filled.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

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About SS&C Technologies

Sourced by ZipRecruiter

SS&C Technologies is a prominent player in the software and IT services industry, specializing in investment and financial technologies. The company is headquartered in Windsor, Connecticut, USA, with the core mission to deliver advanced technology-driven solutions and software for the global financial services industry. SS&C Technologies was established in 1986, and since its inception, the company has grown immensely to offer a comprehensive portfolio of services that include fund administration, securities industry software, insurance and pension funds software, asset management, and trading and settlement services.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Windsor, CT, US

Year founded

1986

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