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Weekend Amazon Data Engineer Jobs in Raleigh, NC

Compunnel

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

Develop, test, deploy, and support ETL batch jobs using Apache Spark and Amazon EMR. Build and ... Develop cloud-native data engineering solutions using AWS services. Collaborate with cross ...

Amazon

Software Dev Engineer II - AMZ26216.2

Raleigh, NC · On-site

$143K - $194K/yr

Amazon Data Services, Inc. Position: Software Dev Engineer II - AMZ26216.2 Location: Raleigh, NC Multiple Positions Available: Design, develop, implement, test, and document embedded or distributed ...

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

$99K - $232K/yr

... 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 ...

Fidelity Investments

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 ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

... Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery ... Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to ...

Fidelity Investments

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 ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

... Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery ... Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$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 ...

Fidelity Investments

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 ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops new web based applications within cloud environments - Snowflake and Amazon Web Services ... Data mart concepts. * Confers with systems analysts and other software engineers/developers to ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops new web based applications within cloud environments - Snowflake and Amazon Web Services ... Data mart concepts. * Confers with systems analysts and other software engineers/developers to ...

Pwc

Data Engineer - Manager

Raleigh, NC

... 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 ...

CGI Inc.

Data Engineer and Modeler

Durham, NC · On-site

$110K - $132K/yr

Data Engineer and Modeler Category: Software Development/ Engineering Main location: United States ... Amazon Relational Database Svc * Data Analysis * Data Migration * Data Modeling * Data Pipelines ...

Fidelity Investments

Senior Data Engineer

Durham, NC

$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 ...

Fidelity Investments

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 ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

... 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 ...

Redhat

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

Develop data sets across data lakes like Amazon Web Services (AWS), Red Shift, Starburst, Snowflake ... S. or foreign equivalent) in Computer Engineering, Computer Science or related field and five (5) ...

A.C. Coy

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 ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$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 ...

A.C. Coy

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 ...

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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 Jul 16, 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 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
Data Engineer ETL

Data Engineer ETL

Compunnel

Durham, NC • On-site

$110K - $132K/yr

Contractor

Posted 18 days ago

Job description

Job Summary
We are seeking a highly motivated Data Engineer (ETL) to design, develop, and maintain scalable data engineering solutions supporting enterprise data aggregation and integration initiatives. This role focuses on building high-performance ETL pipelines, developing Apache Spark applications, processing large-scale datasets, and leveraging cloud-native technologies to deliver reliable and efficient data solutions. The ideal candidate will have strong expertise in Spark, Scala, Java, cloud platforms, and big data technologies while collaborating with cross-functional teams in an Agile environment.
Key Responsibilities
Design, develop, and maintain scalable ETL pipelines for enterprise data integration and movement.
Develop, test, deploy, and support ETL batch jobs using Apache Spark and Amazon EMR.
Build and maintain Spark services for large-scale data processing.
Schedule, monitor, troubleshoot, and optimize Spark batch processing jobs.
Develop Java clients for consuming REST and SOAP APIs.
Develop and maintain Scala-based Spark batch applications.
Process and transform large datasets using Apache Spark.
Store and manage processed data in NoSQL databases such as Cassandra or Yugabyte.
Design and implement cloud-based data warehouse and data lake solutions using Snowflake.
Work with large-scale data storage formats including Parquet and HDF5.
Develop cloud-native data engineering solutions using AWS services.
Collaborate with cross-functional teams to design innovative data solutions that address business requirements.
Participate in code reviews, pair programming, and technical discussions to ensure code quality and best practices.
Support the full Software Development Life Cycle (SDLC), including analysis, design, development, testing, deployment, and maintenance.
Troubleshoot production issues and optimize data processing performance.
Identify opportunities for innovation and continuous improvement in data engineering practices.
Collaborate across multiple Agile teams to deliver scalable and reliable data solutions.
Apply a customer-first mindset when designing and delivering enterprise data solutions.
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field.
Proven experience in Data Engineering.
10+ years of experience developing Spark services for large-scale data movement.
Experience scheduling, monitoring, debugging, and optimizing ETL Spark batch processes.
Hands-on experience developing Java clients for REST and SOAP API integrations.
Experience developing Scala Spark batch applications.
Experience developing, deploying, and maintaining Apache Spark and Amazon EMR ETL jobs.
Experience processing big data using Apache Spark.
Experience with NoSQL databases such as Cassandra or Yugabyte.
Experience with cloud-based data warehouse and data lake platforms such as Snowflake.
Experience managing large datasets using storage formats such as Parquet and HDF5.
Experience developing cloud-native solutions using AWS services.
Strong understanding of software development lifecycle (SDLC) methodologies.
Strong analytical, troubleshooting, and problem-solving skills.
Experience working in Agile software development environments.
Excellent collaboration and communication skills.
Preferred Qualifications
Experience designing enterprise-scale data integration and aggregation solutions.
Experience supporting external-facing data platforms and APIs.
Experience working with financial services or FinTech data platforms.
Passion for continuous learning and adopting modern data engineering best practices.
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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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