Cloud Developer, AWS - CLEARED

The Squires Group; Vienna (VA); Remoto; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

The Squires Group is seeking a Senior Cloud Developer to design, implement, and maintain secure AWS data infrastructure for a federal client. You will build ETL pipelines, automate deployments, and support governance and self-service analytics.

Remote role with occasional DMV travel; active Secret Clearance required. You will lead data mesh training, collaborate with product teams, and ensure data security and compliance across domains.

Competenze

• Active Secret Clearance or higher.
• 7+ years of AWS cloud development with data engineering and DevOps.
• Proficiency with AWS data services (S3, Redshift, Glue, Lake Formation, Lambda).
• Data Mesh architecture and governance expertise.
• Strong data governance including privacy, lineage, and metadata management.
• Advanced scripting in Python, Shell, Java, or similar languages.
• IaC using Ansible, Packer, CloudFormation.
• CI/CD pipelines with Bamboo, Jenkins, or similar.
• Monitoring with CloudWatch, CloudTrail, Splunk, Prometheus, Grafana.
• Cloud security practices including VPC, encryption, MFA, and Security Hub.
• SAFe Agile environments using Jira and Confluence.
• Ability to train on Data Mesh principles and analytics tools.

Mansioni

• Participate in SAFe Agile ceremonies to align development with objectives.
• Collaborate with product teams to refine backlog and governance standards.
• Design and deploy data products following Data Mesh standards.
• Develop ETL pipelines using AWS services (S3, Redshift, Glue, Lake Formation, Lambda).
• Implement IaC with Ansible, Packer, CloudFormation to automate deployments.
• Build CI/CD pipelines using Bamboo, Jenkins, or similar.
• Monitor performance with CloudWatch, CloudTrail, Splunk, Prometheus, Grafana.
• Apply cloud security best practices including encryption and MFA.
• Maintain a data catalog for discoverability and lineage.
• Lead training on Data Mesh and analytics tools.
• Document work in Jira Epics/Features and Confluence.

Conoscenze

AWS cloud development

Data Mesh

DevOps workflows

Python scripting

Automation

Formazione

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Technology

Strumenti

Jira

Confluence

Bamboo

CloudFormation

Prometheus

Grafana

Descrizione del lavoro

Overview

Our client is a rapidly growing federal contractor. They are seeking a Senior Cloud Developer. In this role you will design, implement, and maintain secure and scalable AWS cloud infrastructure supporting a federal client's architecture while developing ETL pipelines, automating deployments, managing AWS-native data services, and advancing data governance and self-service analytics within a SAFe Agile environment.

This role is remote, with occasional required travel to the DMV if a non-local candidate, or occasional onsite needs if a DMV local candidate. Per our client contract,Active Secret Clearance is required.

Responsibilities

• Participate in SAFe Agile ceremonies, including Program Increment Planning, Sprint Planning, Daily Standups, Sprint Reviews, and Retrospectives, to align development activities with strategic objectives.
• Partner with Product Owners, Product Managers, and data domain teams to refine and prioritize the product backlog while maintaining alignment with Data Mesh and governance standards.
• Design and deploy domain-specific data products in accordance with organizational standards for schema design, data transformations, and storage solutions.
• Develop and maintain scalable ETL pipelines using AWS services such as S3, Redshift, Glue, Lake Formation, and Lambda to support self-service analytics and data domain requirements.
• Implement and manage Infrastructure as Code (IaC) using tools such as Ansible, Packer, and AWS CloudFormation to automate cloud deployments and maintain configuration consistency.
• Build and maintain CI/CD pipelines using tools such as Bamboo to support efficient software development and cloud deployment.
• Leverage monitoring and logging tools, including AWS CloudWatch, CloudTrail, Splunk, Prometheus, and Grafana, to monitor performance, identify anomalies, and troubleshoot cloud and data infrastructure.
• Apply cloud security best practices, including network security, data encryption, multi-factor authentication, and AWS Security Hub integration, to safeguard sensitive data assets.
• Maintain a data catalog to improve data discoverability, lineage tracking, and transparency across data domains.
• Support the operation, maintenance, and reliability of Data Mesh software while maintaining high availability.
• Lead training initiatives for data stewards and users covering Data Mesh principles, governance practices, and self-service analytics tools to support organizational adoption.
• Document work in Jira, including Epics, Features, and User Stories, and Confluence while maintaining detailed backlogs and transparent progress tracking.
• Ensure adherence to data governance standards related to data privacy, access controls, and lineage by leveraging governance tools to automate workflows.

Qualifications

Required Qualifications

• Active Secret Clearance or higher.
• 7+ years of experience in AWS cloud development, with a focus on data engineering and DevOps.
• Expertise with AWS data services, including S3, Redshift, Glue, Lake Formation, and Lambda, for developing scalable ETL pipelines and data infrastructure.
• Proficiency with Data Mesh architecture and decentralized data management principles.
• Strong knowledge of data governance, including data privacy, access controls, lineage, and metadata management, with experience using governance tools.
• Advanced scripting skills in Python, Shell, Java, or similar languages for automation and data processing.
• Experience with Infrastructure as Code (IaC) tools such as Ansible, Packer, and AWS CloudFormation for automating cloud infrastructure deployments.
• Proficiency developing and managing CI/CD pipelines using Bamboo, Jenkins, or similar tools for efficient software delivery.
• Expertise with monitoring and logging tools such as AWS CloudWatch, CloudTrail, Splunk, Prometheus, and Grafana for performance optimization and troubleshooting.
• Strong understanding of cloud security practices, including VPC configuration, data encryption, multi-factor authentication, and AWS Security Hub integration.
• Proven experience working in SAFe Agile environments using Scrum, Kanban, Jira, and Confluence for work management and documentation.
• Ability to lead training on Data Mesh principles, governance practices, and analytics tools for both technical and non-technical stakeholders.
• Excellent collaboration and communication skills with cross-functional data domain teams and stakeholders.

Preferred Qualifications

• Experience with containerization technologies such as Docker, Kubernetes, or ECS for scalable data processing.
• Familiarity with RESTful API development for data integration and interoperability.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Compensation:

• Salary up to $150,000. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.

The Squires Group, Inc. is an Equal Opportunity/Affirmative Action Employer.