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Entry Level Aws Data Engineer Jobs (NOW HIRING)

AWS Data Engineer

Matthews, NC · On-site

$107K - $129K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Cramerton, NC

$103K - $123K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Mount Holly, NC · On-site

$106K - $127K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Lake Wylie, SC

$109K - $131K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Lake Park, NC · On-site

$105K - $126K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Belmont, NC · On-site

$105K - $126K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Indian Trail, NC · On-site

$105K - $127K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Pineville, NC · On-site

$108K - $130K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Stallings, NC · On-site

$107K - $128K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Tega Cay, SC · On-site

$99K - $119K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Newell, NC · On-site

$103K - $124K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Charlotte, NC

$111K - $134K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

AWS Data Engineer Location: Seattle, WA Onsite position Fulltime position *****NO Corp to Corp***** JD Design and Development: Design, develop, and implement data pipelines using AWS services such as ...

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer- AWS & Streaming Location: Fort Mill SC (OR) Charlotte, NC (OR) New York, NY (2-3 Days Hybrid) Experience level - 12+ Years Key Responsibilities: * Develop and maintain scalable ETL/ELT ...

AWS Data Engineer (Associate)

$117K - $140K/yr

As an AWS Data Engineer, you will collaborate with business leads and data scientists to build data products that enhance decision-making and ensure data quality. Responsibilities : • Write ...

AWS Data Engineer

Albany, NY · On-site

$113K - $136K/yr

Mindlance is seeking an AWS Data Engineer to support the development of a cloud analytics environment within Medicaid Enterprise Systems. The role involves data ingestion, cleaning, and analysis to ...

AWS Data Engineer (Associate)

$117K - $140K/yr

As an AWS Data Engineer, you will collaborate with business leads and data scientists to build data products that enhance decision-making and ensure high data quality. Responsibilities : • Write ...

AWS Data engineer

Reston, VA · On-site

$119K - $143K/yr

Job Title: Data Engineer Location: Reston, VA (Hybrid) Type - Full Time H1 Transfer works ... Strong knowledge on AWS services such as (S3, RDS, EC2, Lambda, SQS, SNS, Redshift) * Excellent ...

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... and data lineage via AWS Glue Data Catalog or similar tools 4 DevOps Automation Implement CICD pipelines for data workflows using CodePipeline CodeBuild GitHub Actions or Jenkins Use ...

Showing results 21-40

Entry Level Aws Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do entry level aws data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entry level aws data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

More about Entry Level Aws Data Engineer jobs

What cities are hiring for Entry Level Aws Data Engineer jobs?

Cities with the most Entry Level Aws Data Engineer job openings:

What are the most commonly searched types of Aws Data Engineer jobs?

The most popular types of Aws Data Engineer jobs are:

What states have the most Entry Level Aws Data Engineer jobs?

States with the most job openings for Entry Level Aws Data Engineer jobs include:

Infographic showing various Entry Level Aws Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AWS Data Engineer

2T Consulting

Matthews, NC • On-site

$107K - $129K/yr

Full-time

Posted 6 days ago


Job description

Must Have Skills
  • Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and batch services.

  • Experience in Snowflake and Data Build Tool.

  • Expertise in DBT, NodeJS and Python.

  • Expertise in Informatica, Power BI, DataStage, Database, Cognos.

  • Knowledge on AI

  • AWS services AI skills – Build AI agents, Gen AI

  • Gitlab CI/CD pipeline

Detailed Job Description:
  • Strong experience in AWS services AWS services ( hands-on experience) - Data engineering skills (Glue, ECS, Data pipeline etc.,) primarily serverless, databases, storage services, container services, schedulers, and batch services.
  • Experience in Snowflake and Data Build Tool.
  • Expertise in DBT, NodeJS and Python.
  • Expertise in Informatica, Power BI , DataStage, Database, Cognos.
  • Knowledge on AI
  • AI skills – Build AI agents, Gen AI
  • Gitlab CI/CD pipeline
  • Should have good mix of Data engineering and AI work.
  • Proven experience in leading teams across locations.
  • Knowledge of DevOps processes, Infrastructure as Code and their purpose.
  • Good understanding of data warehouses, their purpose, and implementation.
Top 3 responsibilities you would expect the Subcon to shoulder and execute
  • Should have good expertise in delivery coordination Should be able to manage complex software application development and support projects
  • Should be able to manage offshore resources also.
  • Should be able to work with other onsite team members and client Good communication skills.