Senior Full Stack developer - Data Engineering Focused Job at Quantaleap, Richmond, VA

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  • Quantaleap
  • Richmond, VA

Job Description

Job Description

Job Description

Role : Senior Full Stack developer - Data Engineering Focused
Location: Richmond, VA (Remote) Need candidate within 2hrs drivable distance
Job ID: 761180
Interview Mode: Web Cam Interview Only


 
ABOUT THE ROLE
The Department of Behavioral Health and Developmental Services (DBHDS) is seeking a highly skilled Senior Full stack developer with advanced expertise in building AWS/React/NodeJS micro frontend applications and APIs. This role involves implementing technology solutions that enhance business decision-making and processes across all business units, in alignment with the agency's architectural roadmap and enterprise goals. 

 
The Full Stack Developer will engage in a broad range of tasks related to the development, deployment, and maintenance of cloud-based infrastructure and applications. Responsibilities include enabling collaboration, automation, and efficiency in the development of cloud-based micro frontend applications, thereby facilitating the rapid delivery of high-quality software and services to customers. 

 
This position requires technical proficiency in AWS cloud development with Data engineering skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs etc., adherence to software engineering best practices, and alignment with the agency’s technical direction & data policies. Additionally, the role involves collaboration with teams on leveraging the possibilities of common components and technology solutions to ensure successful adoption and implementation. 

 
Additional responsibilities include:

  • Collaborate with stakeholders to understand business requirements and convert them into actionable solution components aligned with DBHDS’s Enterprise Solution architecture patterns, procedures, and policies. 
  • Design and develop scalable, resilient data service components and engineering solutions using cloud-native services and technologies. 
  • Develop data lakes and CDC services to create cohesive applications within cloud and hybrid infrastructures. 
  • Create comprehensive solution documentation detailing the design, testing, and production support processes and procedures. 
  • Set up and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate updates and feature deployments. 
  • Ensure solution completeness through thorough testing and quality assurance processes, ensuring compliance with security policies and best practices. 
  • Manage configuration drift and ensure consistency across different environments, using tools like AWS Code Build/Deploy and AWS CloudFormation. 
  • Apply DevOps principles to streamline the software development lifecycle (SDLC) and enhance automation. 
  • Deploy solutions to various environments, establish monitoring processes, and ensure ongoing operational stability and application resiliency through system stress testing and feature enhancements. 
  • Collaborate with cross-functional teams to understand change requirements, provide technical expertise, and ensure solutions align with business needs. 
 
Qualifications include:  
  • Expertise in developing AWS full stack applications: Translate business requirements into fully tested applications workflows by designing, implementing, and maintaining technology assets using approved tools and plugins for AWS for python. 
  • Proficiency in data services orchestrion: Strong proficiency in cloud platforms, leveraging native cloud services data orchestration solution. 
  • API Development: Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway. 
  • Cloud Networking and Security: Understanding of cloud networking concepts including VPCs, subnets, security groups and cloud security best practices, including identity and access management (IAM). Securing application through role-based authorization, single sign on, and
  • Coginto . for user and access management from Data services API and products
  • Serverless Computing: Experience with serverless computing concepts, event-driven architecture, and serverless platforms. 
  • Infrastructure as Code (IaC): Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform. 
  • Scripting and Automation: Ability to write scripts and automate tasks using scripting languages including NodeJS and Python. 
  • Monitoring and Logging: Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications. 
  • DevOps Practices: Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools including AWS CodePipeline and Github. 
  • End-User Training and Support: Provide support and training to end-users for improved solution literacy and tool usage in a cloud ecosystem. 
  • Business Process Automation: Analyze business process life cycles to identify opportunities for automation and simplification, implementing appropriate solutions. 
  • Collaboration and Communication: Collaborate with product and business owners to deliver robust cloud-based solutions, demonstrating excellent communication skills (both written and verbal). 
  • Compliance: Adhere to all policies and procedures of the Agency. 

     
Additional Considerations: 
  • AWS Data Engineer Associate and Solution architect Professional Certification is desired.

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