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Aws Data Analytics Jobs (NOW HIRING)

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

Malvern, PA · On-site

$112K - $134K/yr

Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics ... Required : • Strong AWS Data Engineers who are passionate about Cloud technology • Design and ...

AWS Data Engineer

Mclean, VA · Remote

$150K - $170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... Design, implement, and optimize ETL/ELT pipelines using Python and PySpark to produce analytics ...

New

AWS Data & Solution Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Certified on one of - Solution Architect, Data Engineer or Data Analytics Specialty by AWS * Require hand-on experience on Python and PySpark programming * Require hands-on experience on AWS S3, Glue ...

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 ...

AWS Data Engineer

Beverly Hills, CA · On-site

$131K - $157K/yr

AWS Data Engineer Location- Beverly Hills, CA / 3-4 Days Hybrid Job Type-Long Term * Experience in ... Strong problem solving and analytical mindset * Ability to write robust, maintainable, and ...

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

New York, NY · On-site

$125K - $150K/yr

Collaborate with data scientists, analysts, and DevOps teams. Required Skills & Qualifications ... Amazon S3 * AWS Glue * Amazon Redshift / RDS * AWS Lambda * Kinesis (for streaming use cases)

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 ...

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Job Title: AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US ... models) for analytics and reporting Perform code reviews and enforce coding standards, best ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Syntricate Technologies is a company looking to fill the role of AWS Data Engineer. The main ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

Senior AWS Data Engineer

Pittsburgh, PA · On-site

$102K - $139K/yr

The primary focus is building cloud-based data pipelines and analytics solutions using AWS, Amazon Redshift, AWS Glue, Python, and SQL . Key Responsibilities * Develop and enhance AWS-based data ...

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

... data frameworks to support analytics, reporting, and data-driven decision-making. Key ... AWS services Build and manage data lakes and data warehouses (e.g., Amazon S3, Redshift, Glue ...

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 ...

... Glue, AWS Lambda, and Amazon S3. * Perform data collection, cleaning, and feature engineering to ... Develop predictive models and statistical analyses using Python, R, or similar tools. * Deploy ...

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Collaborate with data scientists, analysts, and DevOps teams. Required Skills & Qualifications ... Amazon S3 * AWS Glue * Amazon Redshift / RDS * AWS Lambda * Kinesis (for streaming use cases)

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.

Showing results 41-60

Aws Data Analytics information

What is an AWS Data Analytics?

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 daily responsibilities of an AWS Data Analytics professional?

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.

What are the key skills and qualifications needed to thrive in AWS Data Analytics?

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.

Are AWS Data Analytics jobs still in demand?

AWS Data Analytics jobs remain in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like AWS Glue, Redshift, and Athena. Professionals with skills in data processing, cloud architecture, and certifications such as AWS Certified Data Analytics are sought after across various industries.
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Infographic showing various Aws Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 8 days ago


Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight