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Full Time Aws Data Analytics Jobs (NOW HIRING)

ClifyX

AWS Data Architect

Torrance, CA · On-site

$67 - $88/hr

... AWS Data Architect. The role involves designing and implementing cloud architecture solutions ... business analysts, project managers, infrastructure engineers and developers to understand ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Sarian, Inc.

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex.

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K - $145K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Prophecy Technologies

AWS Data Platform Engineer

Dallas, TX · On-site

$113K - $136K/yr

... analytics. The ideal candidate has hands-on experience developing distributed data pipelines ... AWS) environments. • Build and optimize streaming and batch data ingestion pipelines for ...

Diverse Lynx

AWS Cloud Data Lake Lead

Cambridge, VT · On-site

Diverse Lynx is seeking an AWS Cloud Data Lake Lead to manage a team of data scientists and ML ... Responsibilities : • Lead and manage a team of 6 data scientists, ML engineers, and analytics ...

CGI Inc.

Senior AWS Data Engineer

Plano, TX · On-site

$101K - $137K/yr

J0826-1892 Employment Type: Full Time U.S. - Culture, flexibility and purpose By playing this video ... This role will focus on building and improving cloud-based data pipelines and analytics solutions ...

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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 Sep 2, 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 a full time AWS data analytics?

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?

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.

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 cities are hiring for Full Time Aws Data Analytics jobs?

Cities with the most Full Time Aws Data Analytics job openings:

What are the most commonly searched types of Aws Data Analytics jobs?

The most popular types of Aws Data Analytics jobs are:

Full Time Aws Data Analytics jobs near you
Infographic showing various Full Time Aws Data Analytics job openings in the United States as of June 2026, with employment types broken down into 46% Full Time, 53% Part Time, and 1% Contract. 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.

Senior Data AWS Cloud Consultant

Vertical Relevance

Manhattan, NY • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Vertical Relevance is looking for an AWS Data Consultant, to join our team as a full-time employee and work in the NY Metro area. This person is responsible for the end-to-end planning, building, and deploying of software systems. He/she will be able to drive the programming of well-constructed, testable code...
As an AWS Data Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience and organization skills needed to drive customer success.
At Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team?
About the Role
Vertical Relevance is seeking an experienced AWS Data Consultant to design, build, and deploy scalable data solutions on AWS. This role involves working closely with clients to guide cloud adoption and deliver high-quality, production-ready systems.
Key Responsibilities
  • Guide customers through cloud adoption and transformation
  • Design and implement AWS data solutions and data lakes
  • Manage AWS Glue Data Catalog and governance solutions
  • Migrate SQL Server workloads to AWS (RDS, Aurora)
  • Use AWS DMS and SCT for migrations
  • Perform SQL Server performance tuning
  • Develop automation tools and technical documentation
  • Collaborate with cross-functional teams and contribute to thought leadership
Required Qualifications
  • 8+ years of AWS data engineering or architecture experience
  • Strong SQL Server expertise (EC2, RDS, migrations)
  • Experience with AWS DMS, SCT, and Terraform
  • Strong communication and client-facing skills
Technical Stack
  • Amazon SageMaker (Lakehouse, Catalog)
  • Terraform
  • Apache Iceberg
  • Redshift, Athena, EMR, Glue
  • Kinesis / Firehose
  • Databricks or Snowflake
  • Redis, EKS
  • Programming: Python
  • Tools: Airflow, Kafka, Spark, Hadoop, Parquet, Git
  • AWS: S3, Lambda, Batch, RDS, Aurora, DynamoDB, Redshift, Athena, Glue, Kinesis, Step Functions, IAM, CloudTrail
Relevant Technical Tools
  • Primary Languages - Python
  • Tooling, Services & Libraries - Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop
Relevant AWS Services
  • AWS Infrastructure Scripting - CloudFormation, AWS CLI, AWS CDK
  • AWS Storage Services - S3
  • AWS Compute Services - Lambda, Batch
  • AWS Database Services - RDS, DynamoDB, Redshift, Aurora, Neptune
  • AWS Networking Services - VPC
  • AWS Management and Governance Services - CloudTrail, Service Catalog
  • AWS Analytics Services - Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline
  • AWS Security, Identity, Compliance Services - IAM
  • AWS Application Integration Services - Step Functions

The Company
Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years' experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation.
Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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