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Aws Data Analytics Jobs (NOW HIRING)

AWS Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Required Skills: • 5+ years of experience in Data Engineering, Data Warehousing, or Analytics ... on AWS, including S3, Redshift, and RDS. • Strong knowledge of data virtualization, query ...

AWS Data Engineer

Saint Louis, MO · On-site

$108K - $130K/yr

AWS Data Engineer Location: St. Louis, MO (Hybrid) Job Type: Full-Time Experience: 0-3 Years Launch ... Excellent analytical, communication, and problem-solving skills. Preferred Skills * Experience with ...

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

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

Schenectady, NY · On-site

$50 - $70/hr

This role will design, develop, and maintain scalable AWS-based data pipelines and an interim lakehouse supporting enterprise analytics, reporting, and operational data needs. The consultant will ...

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

Manhattan, NY · On-site

$100K - $132K/yr

You will work closely with business stakeholders, data scientists, analysts, and DevOps teams to ... AWS Glue * Amazon Redshift * Amazon RDS * AWS Lambda * Amazon Kinesis * Strong SQL skills

AWS Data Architect (Remote)

Irving, TX · Remote

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... Collaborate with data engineers, analysts and business stakeholders to deliver data driven ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... AWS ... You will work closely with technical analysts, client stakeholders, data scientists, and other team ...

Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1.    Strong in ...

AWS Data Architect (Remote)

Irving, TX · On-site +1

$62.25 - $81.50/hr

Join us! AWS Data Architect Locations: Remote POSITION SUMMARY : We are seeking a AWS Data ... Collaborate with data engineers, analysts and business stakeholders to deliver data driven ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... AWS ... You will work closely with technical analysts, client stakeholders, data scientists, and other team ...

AWS Data Engineer

$117K - $140K/yr

We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This ... Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments.

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

Nice to Have: * Experience in AWS data lake/data warehouse/business analytics. * Knowledge of ETL/ELT. * End-to-end data solutions (ingest, storage, integration, processing, access) on AWS.

AWS Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Utilize EMR clusters for distributed data processing and analytics, ensuring efficient resource utilization and performance. * Implement serverless workflows using AWS Step Functions to orchestrate ...

Cloud Native AWS Data Architect

Boston, MA

$70.25 - $92.25/hr

We are seeking an experienced Cloud Native AWS Data Architect to lead the design and implementation ... Design and optimize data warehouses and analytical query platforms using Amazon Redshift (RA3 ...

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

AWS Data Engineer Job Location: Atlanta, GA Job Type: Contract * Design, develop, and maintain ... Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. Data Lake Management: Implement ...

Showing results 41-60

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.

More about Aws Data Analytics jobs
What cities are hiring for Aws Data Analytics jobs? Cities with the most 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:
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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

Relanto, Inc.

San Jose, CA • On-site

$134K - $161K/yr

Other

Posted 14 days ago


Job description

Position: Data Engineer - AWS
Location: Bay Area, CA (Hybrid)
Employment Type: Full-Time

 

Job Description:

We are seeking a highly skilled Data Engineer with expertise in modern data platforms, semantic data modeling, and cloud-native lakehouse architectures. In this role, you will be responsible for designing and implementing a scalable semantic data layer that enables self-service analytics, consistent business intelligence, and efficient data access across the organization. You will leverage Dremio, Apache Iceberg, and AWS data services to build high-performance, governed, and scalable data solutions.

 

Required Skills:

• 5+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering roles.
• Hands-on experience with Dremio, including semantic layer design, virtual datasets, reflections, and query optimization.
• Strong expertise in SQL, data modeling, and dimensional modeling techniques.
• Experience working with Apache Iceberg for modern lakehouse implementations and table management.
• Solid understanding of Apache Arrow and columnar data processing concepts.
• Experience integrating and managing data platforms on AWS, including S3, Redshift, and RDS.
• Strong knowledge of data virtualization, query federation, and distributed query processing architectures.
• Experience implementing data governance, metadata management, data lineage, and security controls.
• Familiarity with ETL/ELT processes, data pipelines, and large-scale analytical workloads.
• Strong analytical and problem-solving skills with the ability to optimize complex data environments.
• Excellent communication skills and ability to work closely with business and technical stakeholders.

 

Preferred Skills:

• Experience with cloud-native lakehouse architectures and modern data platform ecosystems.
• Familiarity with data catalog and governance tools such as Collibra, Alation, AWS Glue Data Catalog, or similar platforms.
• Experience working with large-scale enterprise analytics and business intelligence environments.
• Knowledge of data orchestration tools such as Apache Airflow or similar workflow platforms.
• Experience with AWS certifications such as AWS Certified Data Engineer or AWS Certified Solutions Architect.
• Familiarity with Python, Spark, or other big data processing technologies.
• Understanding of modern data mesh, data fabric, and self-service analytics principles.