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Entry Level Aws Data Engineer Jobs (NOW HIRING)

Village Care

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

Data Engineer - AWS Location: Hybrid (Must Reside in NY/NJ/CT) Work Schedule: Monday - Friday, 9:00am - 5:00pm Compensation: $118,135.58 - $132,902.53 Annual Salary Our Community Mission VillageCare ...

Village Care

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

Scope of the RoleAs a Data Engineer, you will strengthen VillageCare's cloud data foundation by advancing reliable, secure data movement and analytics-ready datasets in our AWS environment. This role ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer * Understanding of DataOps Engineering How we work? We run a ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer * Understanding of DataOps Engineering How we work? We run a ...

Nastech Global

AWS Cloud Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Cloud Data Engineer Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step ...

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site

$130K - $156K/yr

Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer * Understanding of DataOps Engineering How we work? We run a ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions * Ingest and transform data from diverse sources (S3, RDS, DynamoDB ...

Webtellect, LLC

AWS Cloud Data Engineer

Seattle, WA

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect * Must have strong skills in SQL, Python, PySpark, and AWS * Experience in designing, developing ...

Webtellect, LLC

AWS Cloud Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect * Must have strong skills in SQL, Python, PySpark, and AWS * Experience in designing, developing ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and ... Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in ... Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS ...

ClifyX

AWS Engineer

San Diego, CA · On-site

ClifyX is seeking an AWS Engineer to work onsite in San Diego, CA ... The role involves implementing AWS Data Lakes and working with various AWS services to manage ...

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All JobsAws Data Engineer JobsEntry Level Aws Data Engineer Jobs

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 Aug 14, 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.

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Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AWS Data Engineer

Tata Consultancy Service Limited

Charlotte, NC • On-site

$120K - $135K/yr

Full-time

Re-posted 17 days ago

Job description

Must Have Technical/Functional Skills
Technical Skills
Strong expertise in AWS services including:
o Lambda
o S3
o EventBridge
o Kinesis (Data Streams & Firehose)
o Glue (ETL + Crawlers)
o Step Functions
o Amazon Connect
o Athena
o Macie
Proficient in:
o Python
o PySpark
• Experience in:
o Glue Crawlers for schema discovery and cataloging
o Parquet-based data storage
o Building scalable data pipelines
• Strong understanding of event-driven architectures (Pub/Sub model)
• Hands-on experience with Terraform (Infrastructure as Code)
• Familiarity with CI/CD tools and automation pipelines
o Messaging platforms like Kafka and Amazon EventBridge
o Designing real-time data processing systems
o Using Glue Crawlers + Athena for data lake architectures
Roles & Responsibilities
• Develop a comprehensive plan for migrating near real-time fraud detection campaigns from on-premises systems to AWS.
• Design and implement event-driven architectures to process inbound dialer data (fraud events) using services such as Amazon EventBridge, Kafka, Kinesis Data Streams, and Kinesis Firehose.
• Build and manage scalable data pipelines using AWS Glue (ETL jobs, Crawlers), PySpark, and Python for data ingestion, transformation, and processing.
• Configure and manage Glue Crawlers to automatically discover schemas and update the Data Catalog.
• Store and optimize data using Parquet format and enable analytics through Amazon Athena for efficient querying.
• Develop integrations between Customer Profiles and messaging platforms to automatically trigger profile updates and downstream processes.
• Implement automation to trigger fraud-related outbound calls based on updates in customer profiles.
• Design and orchestrate workflows using AWS Step Functions to manage complex processing pipelines.
• Provision and manage cloud infrastructure using Terraform (Infrastructure as Code).
• Optimize system architecture for scalability, reliability, cost-efficiency, and ensure data integrity and security.
• Conduct end-to-end testing o f the entire framework to validate functionality, performance, and reliability.
• Deploy, automate, and manage resources using CI/CD pipelines.
• Continuously monitor system performance and implement optimizations post-deployment.
• Maintain detailed documentation of architecture, workflows, and operational processes.
Salary Range: $120,000 to $135,000 per year

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