ZipRecruiter

Log In

2

Full Time Aws Data Engineer Jobs (NOW HIRING)

Long Finch Technologies

$107K - $129K/yr

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal ...

Mactores

AWS Data Engineer (Senior)

$108K - $147K/yr

They are seeking a Senior AWS Data Engineer to develop and maintain data pipelines, create data models, and optimize data solutions using various AWS technologies. Responsibilities : • Develop and ...

previous page

Showing results 41-60

All Jobsfull time JobsFull Time Aws Data Engineer Jobs

Full Time Aws Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time aws data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for full time 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 a full time AWS data engineer do?

A Full Time AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services (AWS). They work with cloud-based tools to process, store, and analyze large datasets, ensuring data is accessible and secure. Their responsibilities often include data migration, ETL (Extract, Transform, Load) processes, and optimizing data workflows for performance and scalability. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as a full time AWS data engineer, and why are they important?

To thrive as a Full Time AWS Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with AWS services such as Redshift, Glue, S3, and Lambda, as well as certification like AWS Certified Data Analytics or AWS Certified Solutions Architect, is highly valuable. Excellent problem-solving, collaboration, and communication skills set top performers apart in this role. These abilities are crucial for building scalable data pipelines, ensuring data quality, and driving business insights through reliable data infrastructure.

How does a full time AWS data engineer typically collaborate with other teams within an organization?

As a Full Time AWS Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design and implement scalable data pipelines. Your role often involves gathering requirements from stakeholders, integrating data from various sources, and ensuring data quality and accessibility. Close teamwork is essential, as you’ll work with DevOps for deployment, security teams to manage data governance, and business units to understand analytics needs. Effective communication and the ability to translate technical details for non-technical colleagues are valuable skills in this collaborative environment.

What is the difference between Full Time Aws Data Engineer vs Cloud Data Engineer?

AspectFull Time Aws Data EngineerCloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Solutions ArchitectCloud certifications (AWS, Azure, GCP), Data Engineering certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration, cloud architecture
Industry UsageTech, finance, healthcare using AWS infrastructureVarious industries adopting multiple cloud services

Full Time AWS Data Engineers focus on building data solutions specifically within the AWS ecosystem, utilizing AWS tools and services. Cloud Data Engineers may work across multiple cloud platforms, designing scalable data architectures. While both roles require similar skills, AWS Data Engineers specialize in AWS, whereas Cloud Data Engineers have broader cloud platform expertise.

What cities are hiring for Full Time Aws Data Engineer jobs?

Cities with the most Full Time 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 Full Time Aws Data Engineer jobs?

States with the most job openings for Full Time Aws Data Engineer jobs include:

Full Time Aws Data Engineer jobs near you

AWS Data Engineer | Big Data & Cloud Data Engineer

Long Finch Technologies

On-site

$107K - $129K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
  • Develop ETL/ELT solutions using AWS services.
  • Build and manage cloud-based data lakes and data warehouse solutions using: Amazon S3, Amazon Athena, Amazon Redshift and Amazon RDS.
  • Design and implement scalable data architectures while ensuring data quality, security, and integrity.
  • Develop data processing workflows to support large-scale data ingestion and transformation.
  • Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
  • Monitor, troubleshoot, and improve data pipeline performance and reliability.
  • Work with DevOps tools and practices including Jenkins and Maven for deployment automation.
Required Experience & Skills
  • 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
  • Strong hands-on experience with AWS cloud services and Big Data technologies.
  • Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
  • Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
  • Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
  • Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
  • Experience working with Hadoop and other Big Data technologies.
  • Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
  • Experience with Unix/Linux environments and scripting.
  • Familiarity with DevOps tools such as Jenkins and Maven.
  • Experience with monitoring and logging tools such as Splunk is preferred.
  • Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.

Apply