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Entry Level Aws Data Engineer Jobs (NOW HIRING)

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer Location: San Francisco and jersey city ( 3 days onsite 2 days remote) look for nearby Candidates only ( Only w2 Required) Must Have Skills : Spark, AWS, data lake, data pipelining ...

AWS Data Engineer

Erie, PA · On-site

$110K - $133K/yr

AWS Data Engineer Location: Erie, PA Onsite position Fulltime position JD: AWS Data engineer, Extensive experience with AWS services: EMR, S3, Redshift, Glue, Lambda, Step Functions, DynamoDB, RDS ...

AWS Data Engineer

Dallas, TX

$104K - $125K/yr

We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL ...

AWS Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc) * Ensure the best possible performance and quality of high scale data engineering project * Participate in the ...

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

AWS Data Engineer Location: Richmond, VA (Onsite) Duration: Long term contract Note: Ex-CapitalOne candidates preferred, especially those who worked atleast 1+ yr of exp with them. Job ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.

AWS Data Engineer

$117K - $140K/yr

Job title: AWS Data Engineer Location: Remote * Proficiency in Redshift, Python, Glue - Key Skills that are mandatory. Should be very good in AWS Redshift. * Lambda function, step function ...

AWS Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

AWS Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

AWS Data Engineer

Roanoke, VA · On-site

$112K - $134K/yr

AWS Data Engineer Location: Roanoke, VA (100% remote) Duration: 2-3 months with possible longer extension Description Carilion is Based in Roanoke, VA, and are an award-winning, community-based ...

AWS Data Engineer

Roanoke, VA · Remote

$112K - $134K/yr

AWS Data Engineer Location: Roanoke, VA (100% remote) Duration: 2-3 months with possible longer extension Description Carilion is Based in Roanoke, VA, and are an award-winning, community-based ...

AWS Data Engineer

Roanoke, VA · Remote

$112K - $134K/yr

AWS Data Engineer Location: Roanoke, VA (100% remote) Duration: 2-3 months with possible longer extension Description Carilion is Based in Roanoke, VA, and are an award-winning, community-based ...

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

Seattle, WA · On-site

$130K - $156K/yr

The role involves working closely with business stakeholders, analysts, and engineering teams to enable data driven decision making using large scale datasets and AWS cloud technologies. This role is ...

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

Austin, TX · On-site

$113K - $136K/yr

Experience with AWS and data pipeline engineering. A/B Testing: Experience in designing and conducting A/B tests to inform feature performance and product improvements. Nice to have Technical Skills:

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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 Jun 5, 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 are the key skills and qualifications needed to thrive as an Entry Level AWS Data Engineer, and why are they important?

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, and how do they contribute to the team's goals?

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 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 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:
What job categories do people searching Entry Level Aws Data Engineer jobs look for? The top searched job categories for Entry Level Aws Data Engineer jobs are:
Infographic showing various Entry Level Aws Data Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AWS Data Engineer

AWS Data Engineer

Apex Informatics

San Francisco, CA • On-site

$134K - $162K/yr

Contractor

Posted 18 days ago


Job description

AWS Data Engineer
Location: San Francisco and jersey city ( 3 days onsite 2 days remote)
look for nearby Candidates only ( Only w2 Required)
Must Have Skills :
Spark, AWS, data lake, data pipelining python
Job Description:
As an AWS Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will be responsible for onboarding data sources into our data lake, building robust data pipelines, and ensuring data quality and governance. Your expertise in AWS services and data engineering best practices will be essential in driving our data initiatives forward.
Key Responsibilities:
• Data Onboarding: Onboard various data sources into the data lake, ensuring seamless integration and data consistency.
• Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines using AWS services such as Lambda, Step Functions, and EMR.
• Data Registration: Register data sources and manage metadata to ensure data discoverability and accessibility.
• Data Quality Management: Implement data quality checks and transformations to ensure the accuracy and reliability of data.
• Data Governance: Comply with data governance principles and best practices to ensure data security, privacy, and compliance.
• Infrastructure as Code: Utilize Terraform scripting to manage and automate AWS infrastructure.
• Data Processing: Leverage Spark and other big data technologies to process and analyze large datasets.
• Orchestration: Use Airflow and Step Functions to orchestrate complex data workflows.
• Data Modeling: Work with Snowflake, Iceberg table formats, and other data modeling tools to design and optimize data storage solutions.
• Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
Required Skills and Qualifications:
• AWS Services: Proficiency in AWS Lake Formation, Step Functions, Lambda (serverless), EC2, EMR, and EKS.
• Scripting and Programming: Strong experience with Python and Terraform scripting.
• Data Tools: Experience with Jupyter Notebook, RDS, Snowflake, and Iceberg table formats.
• Big Data Technologies: Expertise in Spark and data pipeline orchestration tools like Airflow and dbt.
• Data Engineering: Solid understanding of data engineering principles, including ETL processes, data warehousing, and data modeling.
• Data Governance: Knowledge of data governance principles and best practices.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data-related issues.
• Communication: Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
• Certifications: AWS Certified Data Engineer or Analytics - Specialty, AWS Certified Solutions Architect, or other relevant certifications.
• Experience: Previous experience in a similar role within a fast-paced, data-driven environment