AWS Cloud Sr. Data Engineer (M1S) (GA, Powder Springs)
Location:?Headquarters / Telecommute
Classification (HR only):?Exempt?
Reports To (Title):?COO Widescope Consulting and Contracting
Widescope Consulting and Contracting'is proud to serve our nation's military and Veterans. We support federal agencies in advancing the United States health care system and improving the overall health and well-being of those who serve or have served our country. Our health services are designed to help people live healthier lives.
Accordingly, Widescope is supporting multi-year modernization initiative to support its mission, and the Sr. Data Engineer will play a vital role in this effort'designing, developing, testing, and monitoring scalable, secure cloud-based applications and services using Amazon Web Services (AWS).
The AWS Cloud Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and architectures using AWS services like Redshift, Glue, S3, and Quicksight, while ensuring performance, security, and cost-efficiency. This role requires strong experience in data engineering, cloud technologies, and collaboration across technical and business teams, with preferred skills in DevOps, infrastructure-as-code, and observability tools.
JOB QUALIFICATIONS
MUST HAVE DATA ENGINEER EXPERIENCE
Responsibilities:
Design, develop, and maintain scalable data pipelines and architectures on AWS.
Implement data ingestion, transformation, and processing solutions using AWS services such as Redshift, S3, Glue, Athena, and Quicksight.
Collaborate with software engineers, business analysts, and other stakeholders to refine data requirements and deliver high-quality data solutions.
Make data available for the reporting and analytics teams.
Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
Optimize and tune data pipelines for performance, security and cost-efficiency.
Optimize and manage data storage solutions, including data lakes and data warehouses.
Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and security.
Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
Communicate effectively with business stakeholders and technical team.
Mentor other data engineers; perform code reviews.
Preferred:
Experience with Event Driven Architecture
Experience with Azure DevOps (ADO) and application containerization, deployment, and orchestration across environments
Experience with CI/CD and test automation (Playwright, Cucumber, JMeter)
Experience with Terraform or other Infrastructure as Code supporting technologies
Experience with Agile Scrum and/or Less framework
Basic understanding of HIPAA, PHI, PII
Basic understanding of cloud infrastructure and automated provisioning & configuration management
Basic understanding of networking and internet protocols
Basic understanding of logging, monitoring, and observability tools e.g. Splunk, Grafana, Prometheus, Dynatrace, Elasticsearch, App Insights.
Basic understanding of ServiceNow incident management intake flow.
Knowledge of Domain Driven Design.
Apply Now
Classification (HR only):?Exempt?
Reports To (Title):?COO Widescope Consulting and Contracting
Widescope Consulting and Contracting'is proud to serve our nation's military and Veterans. We support federal agencies in advancing the United States health care system and improving the overall health and well-being of those who serve or have served our country. Our health services are designed to help people live healthier lives.
Accordingly, Widescope is supporting multi-year modernization initiative to support its mission, and the Sr. Data Engineer will play a vital role in this effort'designing, developing, testing, and monitoring scalable, secure cloud-based applications and services using Amazon Web Services (AWS).
The AWS Cloud Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and architectures using AWS services like Redshift, Glue, S3, and Quicksight, while ensuring performance, security, and cost-efficiency. This role requires strong experience in data engineering, cloud technologies, and collaboration across technical and business teams, with preferred skills in DevOps, infrastructure-as-code, and observability tools.
JOB QUALIFICATIONS
MUST HAVE DATA ENGINEER EXPERIENCE
Responsibilities:
Design, develop, and maintain scalable data pipelines and architectures on AWS.
Implement data ingestion, transformation, and processing solutions using AWS services such as Redshift, S3, Glue, Athena, and Quicksight.
Collaborate with software engineers, business analysts, and other stakeholders to refine data requirements and deliver high-quality data solutions.
Make data available for the reporting and analytics teams.
Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
Optimize and tune data pipelines for performance, security and cost-efficiency.
Optimize and manage data storage solutions, including data lakes and data warehouses.
Maintain high quality documentation of data definitions, transformations, and processes to ensure data governance and security.
Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
Communicate effectively with business stakeholders and technical team.
Mentor other data engineers; perform code reviews.
Preferred:
Experience with Event Driven Architecture
Experience with Azure DevOps (ADO) and application containerization, deployment, and orchestration across environments
Experience with CI/CD and test automation (Playwright, Cucumber, JMeter)
Experience with Terraform or other Infrastructure as Code supporting technologies
Experience with Agile Scrum and/or Less framework
Basic understanding of HIPAA, PHI, PII
Basic understanding of cloud infrastructure and automated provisioning & configuration management
Basic understanding of networking and internet protocols
Basic understanding of logging, monitoring, and observability tools e.g. Splunk, Grafana, Prometheus, Dynatrace, Elasticsearch, App Insights.
Basic understanding of ServiceNow incident management intake flow.
Knowledge of Domain Driven Design.
Apply Now