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Weekend Amazon Data Engineer Jobs in Raleigh, NC

Principal Data Engineer

Durham, NC

$110K - $132K/yr

Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS ... Principal Data Engineer (or closely related occupation) performing application database ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS ... Principal Data Engineer (or closely related occupation) performing application database ...

Principal Data Engineer

Durham, NC

$110K - $132K/yr

Buildsautomated pipelines to deploy to various environments and services using Amazon Web Services ... experience as a Principal Data Engineer (or closely related occupation) designing and ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automated pipelines to deploy to various environments and services using Amazon Web Services ... data stores and file-based interfaces. * Confers with systems analysts and other software engineers ...

... 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 ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ... solutions, Amazon Redshift, Oracle, Snowflake, and ETL processes; performing data cleansing ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ... solutions, Amazon Redshift, Oracle, Snowflake, and ETL processes; performing data cleansing ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/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 ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/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 ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/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 ...

Integrate enterprise data sources into AI knowledge bases * Implement prompt engineering and ... Amazon Bedrock, SageMaker AI, Amazon Knowledge Bases, Amazon OpenSearch, Amazon Titan, Bedrock ...

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 26, 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 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 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 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:

$110K - $132K/yr

Full-time

Posted 17 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 139 rated financial services


Job description

Job Description:

Position Description:

Provides database engineering support to agile development team using SQL, PL/SQL, Java, Python and NodeJS. Performs applications database administration (Oracle) services including SQL code review, performance analysis, query tuning, database application design, physical data modeling, development support and engineering. Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS).

Primary Responsibilities:

  • Designs and implements highly resilient cloud database platforms, using distributed and relational database technologies.

  • Establishes database standards for operations, upgrades, migrations, and onboarding new applications and/or clients.

  • Writes clear, concise, well organized technical documentation to maintain standards and procedures.

  • Provides database development support in all phases of SDLC.

  • Leverages agile methodologies for logical and physical data model review, SQL performance, and Data injection.

  • Understands Oracle RAC related performance challenges.

  • Develops and drives database performance standards and initiatives.

  • Establishes database standards for operations, upgrades, migrations, and onboarding new applications and/or clients.

Education and Experience:

Bachelor's degree in Computer Science, Applied 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) performing application database administration in a financial services environment.

Or, alternatively, Master's degree in Computer Science, Applied 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) performing application database administration in a financial services environment.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") performing database architecture topology design and reviews, designing physical, logical, data model reviews, capacity planning, indexing and partitioning strategies, data archiving, and data compression.

  • DE performing database migrations from on-premises to heterogenous clouds using Oracle data pump, (Expdp/impdp) AWS DMS, and OEM Schema compare.

  • DE performing database instance, query tuning, and troubleshooting real-time mission critical database applications, using Oracle Enterprise Manager 12c and complex queries; and collaborating with enterprise infrastructure teams to diagnose end to end DB tech stack performance issues using AWR reports, ASH Report, and SQL tuning advisor.

  • DE designing, implementing, and performing Oracle database platforms, using Oracle RAC, Oracle Data Guard and Exadata database administration.

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