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Weekend Amazon Data Engineer Jobs in Raleigh, NC

Compunnel

Senior Data Engineer

Durham, NC · On-site

$102.40K - $139.10K/yr

Job Summary We are seeking a Senior Data Engineer to design, develop, and maintain scalable data ... Exposure to Amazon Web Services (AWS). * Experience supporting large-scale enterprise data ...

Compunnel

Senior Data Engineer

Durham, NC

$96K - $130.50K/yr

Job Summary We are seeking a Senior Data Engineer to design, develop, and maintain scalable data ... Exposure to Amazon Web Services (AWS). * Experience supporting large-scale enterprise data ...

New

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Software Technology Inc

Data Engineer

Raleigh, NC

$111.30K - $133.70K/yr

Data Engineer - Remote/Hybrid in Raleigh, NC / Westlake, TX Multi-year project - starting at 12 ... Experience and/or certification with Amazon Web Services, Google Cloud Platform, or Microsoft Azure ...

PLANIT Group

Data Engineer - Databricks SME.

Raleigh, NC

$111.30K - $133.70K/yr

Senior Data Engineer We are seeking a Senior Data Engineer to support our client with data ... SAS, Python, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine ...

Samprasoft

Data Engineer - AWS, SNOWFLAKE, SQL

Durham, NC · Hybrid

$103.70K - $124.60K/yr

Data Engineer Hybrid Mode (5 Days in Month) Westlake, TX/Durham, NC 5+ years in enterprise ... with Amazon Web Services, Google Cloud Platform, or Microsoft Azure is a plus Knowledge of ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site

$111.30K - $133.70K/yr

They are seeking an AI and Data Science Engineer to build and operate data and AI foundations that ... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111.30K - $133.70K/yr

* Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111.30K - $133.70K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Amazon

Automation Engineer

Durham, NC · On-site

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... weekends, nights, and/or holidays - Bachelor's degree in computer science, electrical engineering ...

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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 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
Senior Data Engineer

Senior Data Engineer

Compunnel

Durham, NC • On-site

$102.40K - $139.10K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary
We are seeking a Senior Data Engineer to design, develop, and maintain scalable data solutions that support critical business and analytics functions. This role will focus on data engineering, database development, data modeling, and the delivery of high-quality data platforms. The ideal candidate will have strong experience in data engineering, software development, database technologies, and modern DevOps practices, along with a passion for building reliable and efficient data solutions.
Key Responsibilities
  • Design, develop, and maintain scalable data solutions that support business and operational needs.
  • Develop and optimize database objects, SQL scripts, and data processing workflows.
  • Analyze data, identify patterns, gaps, and data quality issues, and implement effective solutions.
  • Perform database performance tuning and optimization to ensure efficient system operation.
  • Design and implement data models to support analytical and operational requirements.
  • Develop and support ETL processes and data integration solutions.
  • Collaborate with cross-functional teams to deliver high-quality data products and enhancements.
  • Troubleshoot technical issues, assess impacts, and implement innovative solutions.
  • Contribute to the continuous improvement of data engineering processes, standards, and best practices.
  • Support software delivery using Agile methodologies and modern DevOps practices.
  • Participate in code reviews, testing, deployment, and production support activities.

Required Qualifications
  • 7+ years of experience developing and delivering data engineering solutions.
  • Experience in software development within the financial services industry.
  • Expertise in Oracle PL/SQL development, SQL scripting, and database performance tuning.
  • Strong experience with ETL tools and data integration processes, including Informatica or similar technologies.
  • Experience with data warehousing concepts and platforms such as Snowflake.
  • Strong understanding of data modeling techniques, including quantitative and multidimensional analysis.
  • Knowledge of data architecture and design concepts, including transactional systems, data marts, and data warehouses.
  • Experience analyzing complex technical challenges and developing effective solutions.
  • Experience with DevOps, Continuous Integration, and Continuous Delivery practices.
  • Experience with tools such as Maven, Jenkins, Git, and Docker.
  • Experience working in Agile environments, including Scrum and Kanban methodologies.
  • Strong analytical, problem-solving, written, and verbal communication skills.

Preferred Qualifications
  • Intermediate experience with Java development.
  • Experience with Python development.
  • Experience working with REST APIs.
  • Exposure to Amazon Web Services (AWS).
  • Experience supporting large-scale enterprise data platforms and analytics solutions.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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