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Senior Aws Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

Design, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS ... Follow established engineering standards, development practices, documentation requirements, and ...

Sr. AWS DevOps Engineer

Raleigh, NC · On-site

$126K - $162K/yr

... data platform deployments ⦁ Hands-on experience with containerization using Docker and container orchestration using AWS ECS and EKS ⦁ Must have strong hands-on experience with Infrastructure as ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Design, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS ... Follow established engineering standards, development practices, documentation requirements, and ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Design, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS ... Follow established engineering standards, development practices, documentation requirements, and ...

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN ... parties to AWS, GCP, and BigQuery with a focus on scalability and reliability. * Configure ...

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Experience with cloud platforms (AWS) and container technologies such as Docker and Kubernetes is ...

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Experience with cloud platforms (AWS) and container technologies such as Docker and Kubernetes is ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Position : Data Engineer Location : Raleigh, NC Onsite (Must be local) Duration : 12+ Months ... AWS and Azure) and associated services for data processing and storage * Experience with Power BI.

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Experience with cloud platforms (AWS) and container technologies such as Docker and Kubernetes is ...

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... AWS or similar including EMR, Glue, Athena, Batch, Lambda, DynamoDB, EC2, IAM. * Data and analytics ...

Lead Data Engineer

Raleigh, NC

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... AWS or similar including EMR, Glue, Athena, Batch, Lambda, DynamoDB, EC2, IAM. * Data and analytics ...

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful ... AWS or similar including EMR, Glue, Athena, Batch, Lambda, DynamoDB, EC2, IAM. * Data and analytics ...

Showing results 21-40

Senior Aws Data Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do senior aws data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior aws data engineer in Raleigh, NC is $122,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a Senior AWS Data Engineer do?

A Senior AWS Data Engineer is responsible for designing, developing, and maintaining large-scale data processing systems on Amazon Web Services (AWS). They build data pipelines, manage data storage solutions, and ensure data quality, security, and scalability. These professionals often work closely with data scientists, analysts, and other engineers to support data-driven decision-making within an organization. Their expertise includes tools like AWS Glue, Redshift, S3, and Lambda, as well as programming languages such as Python or Scala.

How does a Senior AWS Data Engineer typically collaborate with cross-functional teams in large-scale projects?

As a Senior AWS Data Engineer, you will regularly collaborate with data scientists, analysts, software engineers, and product managers to design and implement scalable data solutions. You are often responsible for gathering requirements, translating business needs into technical specifications, and ensuring data pipelines meet both performance and compliance standards. Effective communication and proactive problem-solving are key, as you'll be expected to guide junior engineers, participate in architecture discussions, and coordinate releases or updates to data infrastructure.

What are the key skills and qualifications needed to thrive as a Senior AWS Data Engineer, and why are they important?

To thrive as a Senior AWS Data Engineer, you need advanced expertise in data engineering, cloud architecture, and programming languages like Python or Scala, typically supported by a bachelor’s degree in computer science or a related field. Proficiency with AWS services such as Redshift, Glue, Lambda, S3, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are crucial for designing scalable data solutions, ensuring data integrity, and enabling efficient analytics in cloud environments.

What is the difference between Senior Aws Data Engineer vs Data Engineer?

AspectSenior Aws Data EngineerData Engineer
Required CredentialsAWS certifications, SQL, Python, SparkSQL, Python, ETL tools, basic AWS knowledge
Work EnvironmentCloud-based data pipelines, AWS servicesOn-premises or cloud data environments
Employer & Industry UsageTech, finance, healthcare using AWSVarious industries, including startups and enterprises
Common Search & ComparisonOften compared for experience level and AWS expertiseEntry to mid-level data roles

The main difference between a Senior Aws Data Engineer and a Data Engineer lies in experience, AWS-specific skills, and responsibilities. Senior Aws Data Engineers typically have advanced AWS certifications and focus on designing and managing cloud-based data solutions, whereas Data Engineers may work with a broader range of tools and environments. Both roles are essential in data-driven organizations, but the senior role involves more strategic planning and cloud architecture expertise.

What are the most commonly searched types of Aws Data Engineer jobs in Raleigh, NC?

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

What cities near Raleigh, NC are hiring for Senior Aws Data Engineer jobs?

Cities near Raleigh, NC with the most Senior Aws Data Engineer job openings:

Senior AWS/Cloud Full Stack Engineer

INFOSYS NOVA HOLDINGS LLC

Raleigh, NC • On-site

Full-time

Re-posted yesterday


Job description

Description:

Senior AWS/Cloud Full Stack Engineer – Role Requirements

Technical Expertise

Frontend Development: Proficiency in modern frameworks such as React, Angular; strong understanding of HTML, CSS, JavaScript/TypeScript.

Backend Development: Experience with server-side technologies like Node.js, Python, Java (SpringBoot)

Database Management: Strong skills in relational databases (e.g., PostgreSQL, MySQL) andfamiliarity with NoSQL databases (e.g., DocumentDB/MongoDB).

API Design & Integration: Expertise in building and consuming RESTful and GraphQL APIs.

Cloud & DevOps: Experience with AWS cloud platform, CI/CD pipelines, containerization (Docker,Kubernetes), and infrastructure-as-code tools.

GenAI & Emerging Tech

Exposure to Generative AI technologies, including experience integrating LLMs (e.g., OpenAI,Anthropic) into applications.

Familiarity with prompt engineering, model fine-tuning, or building GenAI-powered features such aschatbots, summarization tools, or intelligent assistants.

Understanding of ethical considerations and responsible AI practices in GenAI implementations.

Software Engineering Practices

Strong understanding of software design principles, architecture patterns, and system scalability.

Experience with automated testing frameworks and test-driven development (TDD).

Familiarity with version control systems (e.g., Git) and agile development methodologies.

Leadership & Collaboration

Proven ability to lead technical initiatives and mentor junior developers.

Strong communication skills to collaborate effectively with cross-functional teams including Product,UX, and QA.

Ability to translate business requirements into scalable technical