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Aws Data Analytics Jobs (NOW HIRING)

AWS Data Architect

Neenah, WI ยท On-site

$64.50 - $82.75/hr

Contract Position Overview We are looking for a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms supporting scalable analytics and business intelligence.

AWS Data Engineer

Newark, NJ ยท On-site

$119K - $143K/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 ...

AWS Data Architect

Saint Louis, MO ยท Remote

$62 - $79.75/hr

AWS Data Architect Location: St. Louis, MO (Hybrid) Duration: 10-Month Contract Position Summary We ... This role will also support enterprise reporting, analytics, and data science initiatives while ...

AWS Data Architect

California City, CA ยท On-site

$78.25 - $100.50/hr

AWS Data Architect Location: Alameda, CA Experience Range 15 Years Primary (Must have skills)* - To ... Data Engineering & Analytics, including end-to-end data solution design, architecture, and ...

AWS Data Architect

Atlanta, GA ยท Remote

$130K - $165K/yr

AWS Data Architect/Engineer Company Overview Random Bit is a system modernization partner that ... This role collaborates with Enterprise Architects and Business Analysts who support enterprise ...

AWS Data Architect

Atlanta, GA ยท On-site +1

$130K - $165K/yr

AWS Data Architect/Engineer Company Overview Random Bit is a system modernization partner that ... This role collaborates with Enterprise Architects and Business Analysts who support enterprise ...

AWS Data Architect

Fort Mill, SC ยท On-site

$56 - $72/hr

AWS Certifications (Solutions Architect, Data Analytics Specialty) * Strong communication and leadership skills to work across business and technical teams

Aws Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Strong experience in data analysis/mining, hands-on experience on analyzing large datasets and ... AWS platforms/services such as EMR, Lambda, Eventbridge, Step Functions, Redshift, S3, Glue ...

New

AWS Data Engineer

Manhattan, NY ยท On-site

$40/hr

At least 3- 5 years of hands-on experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions on AWS Cloud ...

AWS Data Architect

Alameda, CA ยท On-site

$72.25 - $93/hr

Analytical mindset * Minimum 10+ years of overall IT experience, with 8+ years in Data Engineering ... AWS data architecture, including Amazon S3, Glue, Redshift, Athena, Lambda, EMR, Lake Formation ...

Perform advanced data analysis, feature engineering, model training, and optimization using Python * Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift

AWS Data Engineer

Newark, NJ ยท On-site

$119K - $143K/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 ...

AWS Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

... analytics and data product needs. Key Responsibilities * Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms * Orchestrate workflows with AWS Step ...

Showing results 21-40

Aws Data Analytics information

What is an AWS Data Analytics job?

An AWS Data Analytics job involves designing, implementing, and managing data solutions using AWS services. Professionals in this role work with tools like AWS Glue, Amazon Redshift, AWS Lambda, and Amazon QuickSight to collect, process, and analyze large datasets. They help organizations make data-driven decisions by building scalable and efficient analytics pipelines. The role requires knowledge of cloud computing, data warehousing, big data technologies, and security best practices.

What are the key skills and qualifications needed to thrive in the Aws Data Analytics position, and why are they important?

To succeed in an AWS Data Analytics role, you need a strong background in data analysis, cloud computing, and database management, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, Glue, Athena, and SageMaker, as well as certifications such as AWS Certified Data Analytics, are highly valued. Critical thinking, collaboration, and effective communication skills help professionals interpret data insights and work efficiently with cross-functional teams. Mastery of these abilities ensures accurate, scalable data solutions and facilitates impactful business decision-making in cloud environments.

What are some daily responsibilities of someone working in AWS Data Analytics?

In an AWS Data Analytics role, your daily activities may include designing and maintaining cloud-based data pipelines, processing and transforming large datasets, performing advanced data queries, and generating reports or dashboards for stakeholders. You will often collaborate with software engineers, data scientists, and business analysts to ensure data solutions are reliable and align with organizational goals. Continuous monitoring for performance optimization and troubleshooting any pipeline or infrastructure issues are also critical parts of the job. This dynamic environment offers the chance to work on diverse projects, enhancing both technical expertise and business understanding.

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Infographic showing various Aws Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
AWS Data Engineer

$110K - $132K/yr

Other

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Job description

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Need only Local and Independent Visa Profile

NOTE :- Interview is Face to Face at Client location

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Job Title :- AWS Data Engineer

Location :- Atlanta, GA ( 5 Days per Week Onsite )

Employment Type :- Full Time


Job Description :-

Qualifications (Data Engineer/Python Developer)

  • 10+ years hands-on Python development experience for big data application.
  • Extensive working experience in implementing scalable and efficient data processing pipelines using big data technologies, such as Hadoop/EMR, Spark, Hive.
  • Strong development experience in AWS platforms/services such as Lambda, Eventbridge, Step Functions, Redshift, S3, Glue.
  • Extensive hands-on development experience in making API calls, SQL queries, data manipulation/transformation, analysis and visualization.
  • Strong experience in data analysis/mining, hands-on experience on analyzing large datasets and extracting meaningful insights.
  • Solid understanding and hand-on implementation experience in CI/CD pipeline. Familiar with tools such as Gitlab/Terraform.
  • Critical thinking and strong analytical skills to drive solutions, alternative plans, and conclusions
  • Collaborates effectively and forms positive partnerships with team members in groups and levels across a matrixed organization
  • Possess strong analytical and problem-solving skills

Skills

  • Required 10+ years of Python development experience for big data application
  • Required 5+ years of development experience in AWS platforms/services such as EMR, Lambda, Eventbridge, Step Functions, Redshift, S3, Glue
  • Required 5+ years of development experience in making API calls, SQL queries, Spark, data manipulation/transformation, analysis and visualization
  • Hands on experience with CI/CD pipeline tools such as Gitlab/Terraform