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Entry Level Aws Data Engineer Jobs (NOW HIRING)

Capgemini

AWS Data Engineer

New York, NY · On-site

$125K - $150K/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 ...

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 ...

Cliff Services Inc

Data Engineer - AWS & PySpark

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer AWS & PySpark Location: Dallas, TX or Richmond, VA Client: Confidential Job Summary We are looking for an experienced Data Engineer with strong hands-on expertise in AWS and PySpark

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 ...

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 ...

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 ...

Devoteam

AWS Data Engineer

Alexis, NC · On-site

$107K - $128K/yr

Buscamos para incorporar en proyecto estable un Ingeniero de Datos con experiencia en AWS. Se puede teletrabajar desde cualquier parte de Espana. REQUISITOS Experiencia en ingenieria de datos.

Mactores

AWS Data Engineer (Associate)

Seattle, WA

$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 ...

Lorven Technologies

AWS Senior Data Engineer

Jersey City, NJ · On-site

$116K - $157K/yr

Hi, Our client is looking for a AWS Senior Data Engineer in Jersey City ,NJ location, below is the detailed requirement. Job Title: AWS Senior Data Engineer Location: Jersey City, NJ * Bachelor ...

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 ...

Amazon

Data Engineer, AWS DC Central Operations

Seattle, WA · On-site

$130K - $156K/yr

We support all AWS data centers and all of the servers, storage, networking, power, and cooling ... As a Data Engineer on our team, you'll work with technologies and complex data environments. You'll ...

Amazon

Data Engineer, AWS DC Central Operations

Seattle, WA · On-site

$130K - $156K/yr

We support all AWS data centers and all of the servers, storage, networking, power, and cooling ... As a Data Engineer on our team, you'll work with technologies and complex data environments. You'll ...

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 ...

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Entry Level Aws Data Engineer information

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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.

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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 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 - Qualtrics Integration

Veracity Software Pvt. Ltd.

Remote

$117K - $140K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Veracity Software Pvt. Ltd. is a company seeking an AWS Data Engineer for Qualtrics Integration. The role involves designing, building, and maintaining scalable data pipelines that support Qualtrics survey ingestion and reporting, focusing on serverless AWS data engineering and integration with Qualtrics APIs.
Responsibilities:
• Design and maintain ETL pipelines using AWS Glue (PySpark)
• Develop AWS Lambda functions (Python / Node.js) for serverless data processing
• Manage AWS S3 for Qualtrics input/output storage and optimized data access
• Orchestrate workflows using AWS Step Functions and MWAA (Airflow)
• Query structured datasets using AWS Athena
• Monitor pipelines using CloudWatch logs and metrics
• Transform and aggregate Qualtrics datasets (CSV, JSON, XML)
• Merge multiple source files (e.g., dealer master + employee files) into unified hierarchies
• Automate ingestion, transformation, validation, and report generation
• Implement reusable, scalable ETL frameworks
• Integrate with Qualtrics APIs to extract raw survey data and response files
• Implement event-driven processing (S3 triggers → Lambda)
• Connect AWS pipelines with CRM, ERP, BI tools, or downstream platforms
• Perform data validation and quality checks prior to Qualtrics ingestion
• Generate formatted output files aligned to business-defined templates
• Support ad-hoc analysis using SQL and Athena
• Develop robust Python scripts for Glue, Lambda, and automation tasks
• Write optimized SQL queries for structured data access
• Use Bash/Shell scripting for file movement and preparation
• Configure IAM roles and permissions securely
• Implement Infrastructure as Code (Terraform / CloudFormation)
• Support CI/CD pipelines for data workflows
Qualifications:
Required:
• Strong experience in AWS Data Engineering & Serverless Architecture
• Hands-on expertise with AWS Glue, Lambda, S3, Athena, Step Functions
• Experience with MWAA (Airflow) for orchestration
• Strong Python and SQL skills
• Experience integrating Qualtrics API or structured survey data
• Ability to troubleshoot pipeline failures and performance issues
Preferred:
• Experience with Terraform or CloudFormation
• CI/CD for data pipelines
• Experience supporting BI tools (Power BI, Tableau, etc.)
• Knowledge of data governance and security best practices
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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