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Senior 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 ...

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 ...

Senior Data Engineer

Raleigh, NC · On-site

$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 ...

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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 21, 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 Developer

Software People, Inc.

Raleigh, NC • On-site

Contractor

Re-posted 19 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