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Full Time Aws Data Analytics Jobs (NOW HIRING)

Prophecy Technologies

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 ...

Cognizant

Senior AWS Data Architect

Charlotte, NC · On-site

$65.75 - $88/hr

Cognizant is a leader in artificial intelligence and analytics, seeking a Senior AWS Data Architect to lead enterprise-scale data architecture and strategy. The role focuses on designing scalable ...

TriOptus LLC

Senior AWS Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Senior Associate will be responsible for the development and delivery of data analytics for the FP ... Required Skills: * Experience developing and operating enterprise cloud-native AWS data ...

TriOptus LLC

Senior AWS Data Engineer

Reston, VA · On-site

$110K - $149K/yr

Senior Associate will be responsible for the development and delivery of data analytics for the FP ... Required Skills: * Experience developing and operating enterprise cloud-native AWS data ...

Cognizant

Senior AWS Data Engineer

$108K - $147K/yr

Cognizant is a leader in Artificial Intelligence and Analytics, and they are seeking a Senior AWS Data Engineer to design and deliver scalable, cloud-native data solutions on AWS. The role focuses on ...

Inizio Partners Corp

Senior AWS Data Engineer

Newark, NJ · On-site

$110K - $150K/yr

Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions. * Oversee migration of data from legacy systems to AWS-based ...

Navtech, Inc.

Senior AWS Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Builds and maintains data pipelines to support data and analytics use cases. Responsible for ... AWS lake formation Nice to have: Bilingual Spanish/English proficiency.

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Full Time Aws Data Analytics information

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$153K

$178.7K

$202K

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

As of Jun 9, 2026, the average yearly pay for full time aws data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

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

AspectFull Time Aws Data AnalyticsCloud Data Engineer
Required CertificationsAWS Certified Data Analytics, AWS Certified Big DataAWS Certified Data Analytics, Cloud Platform Certifications
Work EnvironmentData analysis, reporting, visualization in cloudData pipeline development, infrastructure setup in cloud
Employer & Industry UsageTech, finance, healthcare, retailTech companies, startups, enterprises with cloud infrastructure

Full Time Aws Data Analytics roles focus on analyzing and visualizing data using AWS tools, while Cloud Data Engineers build and maintain data pipelines and infrastructure. Both roles require similar certifications and often work in cloud-based environments, but their core responsibilities differ in data analysis versus data engineering tasks.

What is a Full Time AWS Data Analytics job?

A Full Time AWS Data Analytics job involves working with Amazon Web Services (AWS) cloud technologies to collect, process, analyze, and visualize large volumes of data. Professionals in this role typically design and implement data pipelines, manage data storage solutions, and use AWS analytics tools such as Amazon Redshift, AWS Glue, and Amazon QuickSight. They help organizations make data-driven decisions by transforming raw data into actionable insights. This position requires a strong understanding of cloud computing, data engineering, and analytics best practices, as well as experience with AWS services.

What are the key skills and qualifications needed to thrive as a Full Time AWS Data Analytics professional, and why are they important?

To thrive as a Full Time AWS Data Analytics professional, you need a strong background in data analysis, cloud computing, and proficiency with languages such as SQL and Python, often supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, Glue, Athena, and certification such as AWS Certified Data Analytics is highly valuable. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business strategies. These competencies are essential for leveraging cloud data solutions to drive informed decision-making and organizational success.

What are some common challenges faced by AWS Data Analytics professionals in a full-time role, and how can they be addressed?

One of the main challenges in a full-time AWS Data Analytics position is managing and optimizing large-scale data pipelines for performance and cost efficiency. AWS offers a wide range of analytics services, so it's essential to stay updated with new features and best practices. Collaborating closely with data engineers, data scientists, and business stakeholders ensures that analytics solutions align with organizational goals. To address these challenges, regular training, leveraging automation tools, and actively participating in team knowledge sharing sessions can be highly beneficial.
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Full Time Aws Data Analytics jobs near you
Infographic showing various Full Time Aws Data Analytics job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

AWS Data Engineer

Prophecy Technologies

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 6 days ago

Job description

Role Overview:
The Loss Prevention Tech team as a Data Engineer is an engineer with deep expertise in designing, building, and maintaining scalable data pipelines and analytics platforms.
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 critical in delivering reliable, high performance data solutions across batch and streaming workloads.
Key Responsibilities:
  • Work with business stakeholders and analysts to understand data requirements and translate them into technical solutions
  • Design, build, and maintain highly available and distributed data pipelines for ingestion, transformation, and processing of large datasets
  • Develop and optimize ETL / ELT workflows using cloud native data engineering tools
  • Write efficient SQL queries and support data warehousing solutions for analytical workloads
  • Build reusable, scalable programs using Python, Unix shell scripting, Java, or similar languages to solve complex data problems
  • Design and support analytical data infrastructure enabling ad hoc access to large datasets and compute resources
  • Integrate data from multiple structured and unstructured sources using SQL and cloud big data technologies
  • Collaborate with cross functional teams including developers, PMs, and architects on end to end solution design
  • Support testing, defect resolution, and production issues in collaboration with QA and operations teams

Required Skills:
  • Strong proficiency in SQL
  • Hands on experience with Python and/or Unix shell scripting
  • Experience building and maintaining ETL / ELT pipelines
  • Familiarity with ETL frameworks
  • Experience with cloud based data platforms AWS (Athena, EMR, Redshift, S3, Glue, Kinesis, Lambda)
  • Exposure to distributed data processing and large scale datasets
  • Understanding of data warehousing concepts
  • Ability to design datasets for reporting, dashboards, and analytics use cases

Preferred Skills and Qualifications:
  • Experience with streaming data pipelines
  • Knowledge of data modelling and performance optimization
  • Exposure to DevOps / CI CD practices for data pipelines
  • Bachelor's degree in computer science or equivalent

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