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Aws Data Analytics Jobs (NOW HIRING)

Apex Informatics

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Required Skills and Qualifications: • AWS Services:

Tror AI for everyone

AWS Data Architect

California City, CA · 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 ...

Random Bit

AWS Data Architect

Atlanta, GA · 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 ...

Random Bit

AWS Data Architect

Atlanta, GA · 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 ...

Hexaware Technologies, Inc

Aws Data Engineer

Atlanta, GA · 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 ...

Vertical Relevance

AWS Data Cloud Consultant

Manhattan, NY · On-site

$130 - $160/hr

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 ...

Marencor

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

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

WinWire

AWS Data Architect

Alameda, CA · 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 ...

Sidram Technologies

AWS Data Engineer

Reston, VA · 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 ...

Grinteq

AWS Data Engineer

Manhattan, NY · 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 ...

Qode

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 ...

Tror AI for everyone

Data Analytics

Santa Clara, CA · On-site

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 ...

Sarian, Inc.

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Qode

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 ...

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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 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.

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.

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Aws Data Analytics jobs near you
Infographic showing various Aws Data Analytics job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

AWS Data Engineer

Apex Informatics

San Francisco, CA • On-site

$134K - $162K/yr

Contractor

Re-posted 29 days ago

Job description

AWS Data Engineer
Location: San Francisco and jersey city ( 3 days onsite 2 days remote)
look for nearby Candidates only ( Only w2 Required)
Must Have Skills :
Spark, AWS, data lake, data pipelining python
Job Description:
As an AWS Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will be responsible for onboarding data sources into our data lake, building robust data pipelines, and ensuring data quality and governance. Your expertise in AWS services and data engineering best practices will be essential in driving our data initiatives forward.
Key Responsibilities:
• Data Onboarding: Onboard various data sources into the data lake, ensuring seamless integration and data consistency.
• Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines using AWS services such as Lambda, Step Functions, and EMR.
• Data Registration: Register data sources and manage metadata to ensure data discoverability and accessibility.
• Data Quality Management: Implement data quality checks and transformations to ensure the accuracy and reliability of data.
• Data Governance: Comply with data governance principles and best practices to ensure data security, privacy, and compliance.
• Infrastructure as Code: Utilize Terraform scripting to manage and automate AWS infrastructure.
• Data Processing: Leverage Spark and other big data technologies to process and analyze large datasets.
• Orchestration: Use Airflow and Step Functions to orchestrate complex data workflows.
• Data Modeling: Work with Snowflake, Iceberg table formats, and other data modeling tools to design and optimize data storage solutions.
• Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
Required Skills and Qualifications:
• AWS Services: Proficiency in AWS Lake Formation, Step Functions, Lambda (serverless), EC2, EMR, and EKS.
• Scripting and Programming: Strong experience with Python and Terraform scripting.
• Data Tools: Experience with Jupyter Notebook, RDS, Snowflake, and Iceberg table formats.
• Big Data Technologies: Expertise in Spark and data pipeline orchestration tools like Airflow and dbt.
• Data Engineering: Solid understanding of data engineering principles, including ETL processes, data warehousing, and data modeling.
• Data Governance: Knowledge of data governance principles and best practices.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data-related issues.
• Communication: Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
• Certifications: AWS Certified Data Engineer or Analytics - Specialty, AWS Certified Solutions Architect, or other relevant certifications.
• Experience: Previous experience in a similar role within a fast-paced, data-driven environment

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