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Weekend Amazon Data Engineer Jobs in Raleigh, NC

Amazon

Operations Manager

Smithfield, NC · 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 ...

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Weekend Amazon Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Aug 20, 2026, the average yearly pay for weekend amazon data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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 are the most commonly searched types of Amazon Data Engineer jobs in Raleigh, NC?

The most popular types of Amazon Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Weekend Amazon Data Engineer jobs?

Cities near Raleigh, NC with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Principal Software Engineer/Developer

Fidelity Investments

Durham, NC • On-site

Full-time

Re-posted 22 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Position Description:

Designs, develops, and sustains high-impact enterprise applications that enhance overall customer experience and support strategic business outcomes. Provides architectural direction and delivers advanced data engineering solutions using modern cloud technologies to enable scalable, efficient, and reliable data processing. Partners closely with cross-functional business units to align technical solutions with organizational priorities while driving engineering best practices and ensuring delivery of robust, customer-centric systems.

Primary Responsibilities:

  • Participates in architecture design teams.

  • Defines and implements application-level architecture.

  • Develops applications on complex projects, components, and subsystems for the division.

  • Recommends development testing tools and methodologies and reviews and validates test plans.

  • Responsible for QA readiness of software deliverables.

  • Develops comprehensive documentation for multiple applications or subsystems.

  • Establishes full project life cycle plans for complex projects across multiple platforms.

  • Responsible for meeting project goals on-time and on-budget.

  • Advises on risk assessment and risk management strategies for projects.

  • Plans and coordinates complex project schedules and assignments for multiple projects.

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

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

  • Advises senior management on technical strategy.

  • Mentors junior team members.

  • Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.

  • Develops original and creative technical solutions to on-going development efforts.

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 Software Engineer/Developer (or closely related occupation) performing real time analytics and recommendation application development using Amazon Web Services (AWS).

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 Software Engineer/Developer (or closely related occupation) performing real time analytics and recommendation application development using Amazon Web Services (AWS).

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") performing Object Oriented Programming (Java, Scala, and Python) within Python's ecosystem, including using NumPy, Panda, sklearn and Amazon Web Services (AWS) to build the infrastructure and pipelines to deploy the recommendation models.

  • DE performing full stack development using Java, Spring, RESTful services, relational and NoSQL databases (DynamoDB, Postgres, and Graph database) with Cloud technologies AWS or Azure.

  • DE architecting and developing personalized recommendation applications using data movement technologies (ETL and ELT), messaging and streaming technologies (AWS SQS, Kinesis, and Kafka), and building data pipelines using Apache Flink, Snowflake, and AWS Glue.

  • DE automating the development processes using Continuous Integration/Continuous Deployment (CI/CD) tools Deployment Pipeline (Jenkins), version control (GitHub), code quality (SonarQube), orchestration and app hosting services (ECS or EKS).

#PE1M2

#LI-DNI

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

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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