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

Raleigh, NC Duration: 12+ months Looking to hire a senior AWS developer with 10-15 years of ... This role involves close collaboration with the data modernization teams at ITD and DPH to design ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering ... Advanced experience with cloud platforms such as AWS, Azure, or GCP. * Advanced experience with ...

... e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core ...

Title: Data Engineer (onsite) Location: Raleigh, NC Contract: W2 only, 12-month contract with ... This role requires deep expertise in Databricks (including Genie), AWS cloud services, and PySpark ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Working closely with senior data engineering leadership, data architecture, analytics engineering ... Exposure to cloud-based data platforms (AWS preferred) Skills: * Strong SQL skills (joins, window ...

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Sr Aws Data Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

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

As of Aug 23, 2026, the average yearly pay for sr 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 Sr AWS Data Engineer do?

A Sr AWS Data Engineer is responsible for designing, building, and maintaining data infrastructure on Amazon Web Services (AWS). They create data pipelines, manage data storage solutions, and ensure that large volumes of data are processed efficiently and securely. Their role often involves working with services like AWS Glue, Redshift, S3, and Lambda, and collaborating with data scientists, analysts, and other engineers to support business intelligence and analytics needs. Senior engineers also mentor junior staff and help define best practices for data engineering in the cloud.

What are the key skills and qualifications needed to thrive as a Sr AWS Data Engineer?

To thrive as a Sr AWS Data Engineer, you need a deep understanding of data modeling, ETL processes, cloud architecture, and proficiency in programming languages like Python or Scala, typically supported by a relevant degree and AWS certifications. Familiarity with AWS services such as Redshift, S3, Glue, Lambda, and orchestration tools like Airflow or Step Functions is crucial. Strong problem-solving, communication, and collaboration skills help you work effectively across teams and manage complex data solutions. These competencies ensure you can design, implement, and optimize scalable data pipelines that support business analytics and decision-making.

How does a Sr AWS Data Engineer typically collaborate with data scientists and other stakeholders on projects?

As a Sr AWS Data Engineer, you’ll regularly partner with data scientists, analysts, and business stakeholders to design and implement scalable data solutions. Your role involves gathering requirements, translating them into technical specifications, and building robust data pipelines using AWS services. Effective communication is essential, as you'll need to ensure data is accessible, reliable, and well-documented so the wider team can derive actionable insights. Frequent cross-functional meetings and agile project management structures are common, fostering collaboration and alignment on project goals.

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

AspectSr Aws Data EngineerData Engineer
Required CertificationsAWS certifications (e.g., AWS Certified Data Analytics)Often similar, but less emphasis on certifications
Work EnvironmentCloud-based data solutions on AWS platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning scalable data pipelines, optimizing AWS servicesBuilding and maintaining data pipelines, data modeling
Experience LevelAdvanced, with cloud-specific expertiseEntry to mid-level, broader data skills

The main difference between a Sr Aws Data Engineer and a Data Engineer lies in cloud specialization. The Sr Aws Data Engineer focuses on AWS cloud services and advanced cloud-based data solutions, while a Data Engineer may work across various environments with broader data management skills.

What job categories do people searching Sr Aws Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Sr Aws Data Engineer jobs in Raleigh, NC are:

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

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

Infographic showing various Sr Aws Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,801 per year, or $59 per hour.

Senior AWS Developer

Software People, Inc.

Raleigh, NC • On-site

Contractor

Re-posted 21 days ago


Job description

Phone/Skype Hire. Onsite from day 1 / Hybrid

Location: Raleigh, NC

Duration: 12+ months

Looking to hire a senior AWS developer with 10-15 years of software development experience. This role involves close collaboration with the data modernization teams at ITD and DPH to design, implement, and manage AWS solutions that align with their technical requirements and business objectives.

Skill Sets and experience includes:

  • Extensive experience in developing/ building AWS Data Lake formation, contributing extensively to design, development and writing code.
  • Experience in modernizing legacy applications, which should include refactoring/migrating in-house legacy applications to the cloud environment.
  • Proficient in utilizing AWS services and related components towards building enterprise level Data Lakes.
  • Must have experience in Data Ingestion & Storage, Data Processing & Transformation and working with AWS Machine Language using appropriate AWS services.
  • Experience in customizing AWS ETL logic using Python code.
  • Knowledgeable and experience in security and data governance covering areas such as fine-grained permissions, managing user and service permissions, data encryption, auditing, and compliance.
  • Experience in software development with hands-on skills in Python scripting, and any prior experience in Object oriented languages is a plus.
  • Experience working with any transactional or RDMS databases
  • Experience with DevOps, DevSecOps, Iac, automation, building CI/CD pipelines, monitoring, and logging.
  • Knowledge / experience using any ETL tools, experience with data analytics using PowerBI or AWS QuickSight etc. is plus.
  • Must have experience/familiar with Agile/Scrum Framework environments.

Responsibilities

•                  Collaborating with stakeholders to gather requirements and propose effective modernization strategies

•                  Providing technical guidance and troubleshooting support throughout project delivery

•                  Acting as a trusted advisor to the technical team on industry trends and emerging technologies

•                  Develop, test, debug and deliver within timeline using best tools and best practices available.

•                  Ability to identify, analyze, and resolve technical issues and challenges.

•                  Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs

•                  Identifies architectural risks and plans to mitigate risks

•                  Ensures adherence to standards and best practices

•                  Influences and communicates effectively with non-technical audiences including senior ITD and business stakeholders.

Skills Needed

  • Proficient in using various AWS services towards building enterprise level data lakes               Required              7             Years
  • Experience in modernizing applications, including refactoring, migration, and cloud-native development.     Required              7             Years
  • Data Ingestion & storage : S3, Amazon Kinesis Data Streams, Amazon Kinesis Data Firehouse, DMS       Required              7             Years
  • Data Processing & Transformation:AWS Glue, AWS Lambda, EMR, Athena, Amazon Managed Service for Apache Flink,AWS Step Functions, AWS SageMaker     Required              7               Years
  • Experience with DevOps practices and automation tools  Required              7             Years
  • Experience in software development, hands on coding using python scripts or any other object-oriented languages like Java/.net. Required              10           Years
  • Strong communication and collaboration skills to work with cross-functional teams, including developers, business analysts, and stakeholders. Required              10           Years
  • Experiencewith Agile/Scrum Framework environments.    Required              7             Years
  • Experience with data analytics, business intelligence solutions (like Power BI or AWS QuickSight )        Highly desired    3             Years
  • AWS Certification             Highly desired
  • State Government experience     Highly desired