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Weekend Amazon Data Engineer Jobs in Raleigh, NC

Deloitte

Amazon Connect Technical Architect

Raleigh, NC · On-site

$64.50 - $77.75/hr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Work You'll Do An Amazon Connect Technical Architect is responsible for the design of our Amazon ...

Amazon

Senior Station Manager

Raleigh, NC · On-site

... including overnight, weekends and holidays PREFERRED QUALIFICATIONS - Degree in Engineering ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Deloitte

Forward Deployed Engineer- AWS

Raleigh, NC

... AI&Data including hands on experience with one of the following key platforms/products; Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Deloitte

Databricks Engineer

Raleigh, NC · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services, and ...

Deloitte

Senior Forward Deployed Engineer- AWS

Raleigh, NC · On-site

$101.60K - $139.50K/yr

... AI&Data including hands on experience with one of the following key platforms/products;Amazon ... At Deloitte, Senior Forward Deployed Engineers (SFDE) don't just build AI solutions, they help ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Raleigh, NC

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 Jun 3, 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 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 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 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 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 are popular job titles related to Weekend Amazon Data Engineer jobs in Raleigh, NC? For Weekend Amazon Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Weekend 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

Salesforce Data Cloud Engineer III (Memphis TN or Remote in the USA)

American Lebanese Syrian Associated Charities

Raleigh, NC • Remote

$111.30K - $133.70K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

AtALSACyou do more than make a living; you make a difference.
We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.
Job Description

The Salesforce Data Cloud Engineer (Software Engineer III) provides technical leadership and hands-on engineering expertise in designing, developing, implementing, and supporting scalable enterprise data and application solutions. This role is a key contributor and mentor within the engineering team, serving as a subject matter expert across Salesforce Data Cloud, identity resolution, data governance, APIs, and multi-layered application development.

This position drives the architecture and delivery of Data Cloud pipelines, customer identity unification, and privacy-safe activation across enterprise platforms. The engineer continually evaluates emerging technologies, ensures adherence to secure development practices, and documents solutions through clear technical artifacts including diagrams, flowcharts, metadata definitions, and code documentation.

Primary ResponsibilitiesSalesforce Data Cloud & Unified Profile Engineering
  • Design, develop, and optimize Data Cloud pipelines-including Data Streams, Data Model Objects (DMOs), Data Graphs, Calculated Insights-to build a scalable unified Profile System with high-quality identity resolution and golden records.
  • Define, tune, and maintain identity resolution rulesets (deterministic and probabilistic) for accuracy, precision/recall, and measurable profile completeness.
  • Build and optimize Segments and Activation across Marketing Cloud, Advertising platforms, Sales/Service Cloud, and Commerce using privacy-safe matching and deduplication.
  • Implement data governance, consent modeling, and privacy controls (GDPR/CCPA) across ingestion, unification, storage, and activation.
  • Partner with Marketing, Product, Analytics, and CRM teams to translate business use cases into Data Cloud data models, insights, and event-driven activations.
Data Engineering, Integrations & Platform Reliability
  • Establish and maintain CI/CD pipelines, automated data quality checks, operational monitoring, data lineage visibility, and SLA reporting across ingestion and activation flows.
  • Collaborate on Lakehouse Federation and Zero-Copy architecture patterns with Amazon Redshift, Databricks, and other enterprise data platforms for analytics, ML integration, and model operationalization (Einstein Studio or external).
  • Architect and implement ETL/ELT processes using SQL, streaming platforms (Kafka/Kinesis), APIs, and microservices aligned to enterprise engineering standards.
  • Analyze and resolve complex technical issues across interconnected systems; perform root cause analysis, implement fixes, and prevent recurrence.
Application Development & Engineering Leadership
  • Apply software engineering best practices across front-end, back-end, and data layers while conforming to internal coding standards and secure development practices.
  • Create, modify, test, debug, document, and maintain complex application programs supporting enterprise systems.
  • Work directly with users, business analysts, and cross-functional teams to understand requirements, validate user needs, and drive enhancements.
  • Mentor and support Software Engineer I and II team members through code reviews, technical guidance, and skill development.
Continuous Learning & Technical Governance
  • Stay current with industry trends, emerging technologies, and Salesforce ecosystem advancements; participate in education, certifications, and learning opportunities.
  • Maintain thorough documentation (flowcharts, diagrams, layouts, data dictionaries, design specifications) to support system understanding and operational continuity.
Minimum Qualifications
  • 5+ years of experience in data engineering, CRM, or Customer Data Platforms (CDP).
  • 2+ years hands-on with Salesforce Data Cloud or an equivalent enterprise CDP.
  • Bachelor's degree in Information Systems, Engineering, Mathematics, Computer Science, or related field; 5-8 years technical and programming experience.
  • Strong SQL proficiency and hands-on expertise with Data Cloud entities (DMOs, Data Streams, Data Graphs, Calculated Insights, Segments, Activation).
  • Proven experience activating audiences across Marketing Cloud, Advertising platforms, Sales/Service Cloud, or Commerce Cloud.
  • Experience with ETL/ELT pipelines, streaming technologies (Kafka/Kinesis), REST/GraphQL APIs, and Git-based CI/CD.
  • Strong understanding of consent management, data privacy, PII/PHI protection, and compliance frameworks (GDPR/CCPA).
  • Professional experience developing across multiple layers of the application stack (front-end, back-end, data, APIs).
  • Experience in structured, cross-functional environments with established roles and processes.
  • Preferred skills include experience with Python, dbt, MDM platforms, Reverse ETL, enterprise data warehouses (e.g., Amazon Redshift), Einstein Studio or ML model operationalization, and Copado or similar Salesforce DevOps tooling.
Benefits & PerksThe following Benefits & Perks apply to Full-Time Roles Only.We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same.
  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms:

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

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