AWS Data Engineer
Location: Remote within the U.S.
Contract Type: Contract to Hire
Contract Duration: 3+ Months
Salary: Not disclosed
We are a specialized career platform connecting candidates with premier career opportunities. Our AI career agent, Hunter, works 24/7 to match talented professionals with roles that align perfectly with their skills, contract preferences, and career aspirations, both through our direct client network and broader market opportunities.
About The Role
Join a dynamic technology-driven company as an AWS Data Engineer. In this exciting role, you will utilize cutting-edge Amazon Web Services (AWS) tools and services to deliver impactful data-driven solutions, ensuring measurable improvements to business processes. Working fully remotely, you will engage in cross-functional collaboration, help develop machine learning models, build end-to-end data pipelines, and optimize cloud costs.
Responsibilities
• Analyze and explore data using AWS tools like Amazon Redshift, Athena, and Quicksight, delivering actionable insights.
• Develop and deploy machine learning models with AWS SageMaker for predictive analytics.
• Design, build, and maintain efficient data pipelines using AWS Glue.
• Implement real-time data processing solutions leveraging AWS Kinesis, Lambda, and related tools.
• Optimize and streamline big data technologies including AWS EMR, Apache Spark, and Hadoop.
• Create interactive dashboards using Amazon QuickSight to communicate insights effectively.
• Ensure data quality by validating, cleansing, and governing data workflows.
Requirements
• Must be authorized to work in the U.S. without current or future employer sponsorship.
• 4+ years of experience with AWS tools and services like Redshift, Athena, Glue, SageMaker, Kinesis, Lambda, EMR, and QuickSight.
• Proficiency in Python, R, or Java for data manipulation, modeling, and component deployment (Terraform experience required).
• Solid understanding of data warehousing concepts along with SQL expertise.
• Experience leveraging machine learning frameworks (e.g. TensorFlow, Scikit-learn) integrated with AWS tools.
Preferred Skills
• Experience collaborating in fast-paced environments.
• A portfolio showcasing meaningful, data-driven projects.
Application process
The first step will be with our AI career agent, Hunter, who'll get to know you better to match you with this and other roles. Afterwards you'll be evaluated by the hiring team.
Location: Remote within the U.S.
Contract Type: Contract to Hire
Contract Duration: 3+ Months
Salary: Not disclosed
We are a specialized career platform connecting candidates with premier career opportunities. Our AI career agent, Hunter, works 24/7 to match talented professionals with roles that align perfectly with their skills, contract preferences, and career aspirations, both through our direct client network and broader market opportunities.
About The Role
Join a dynamic technology-driven company as an AWS Data Engineer. In this exciting role, you will utilize cutting-edge Amazon Web Services (AWS) tools and services to deliver impactful data-driven solutions, ensuring measurable improvements to business processes. Working fully remotely, you will engage in cross-functional collaboration, help develop machine learning models, build end-to-end data pipelines, and optimize cloud costs.
Responsibilities
• Analyze and explore data using AWS tools like Amazon Redshift, Athena, and Quicksight, delivering actionable insights.
• Develop and deploy machine learning models with AWS SageMaker for predictive analytics.
• Design, build, and maintain efficient data pipelines using AWS Glue.
• Implement real-time data processing solutions leveraging AWS Kinesis, Lambda, and related tools.
• Optimize and streamline big data technologies including AWS EMR, Apache Spark, and Hadoop.
• Create interactive dashboards using Amazon QuickSight to communicate insights effectively.
• Ensure data quality by validating, cleansing, and governing data workflows.
Requirements
• Must be authorized to work in the U.S. without current or future employer sponsorship.
• 4+ years of experience with AWS tools and services like Redshift, Athena, Glue, SageMaker, Kinesis, Lambda, EMR, and QuickSight.
• Proficiency in Python, R, or Java for data manipulation, modeling, and component deployment (Terraform experience required).
• Solid understanding of data warehousing concepts along with SQL expertise.
• Experience leveraging machine learning frameworks (e.g. TensorFlow, Scikit-learn) integrated with AWS tools.
Preferred Skills
• Experience collaborating in fast-paced environments.
• A portfolio showcasing meaningful, data-driven projects.
Application process
The first step will be with our AI career agent, Hunter, who'll get to know you better to match you with this and other roles. Afterwards you'll be evaluated by the hiring team.
