Overview
On Site
Contract - W2
Skills
Facilitation
Decision-making
Operational Efficiency
Roadmaps
Lifecycle Management
Amazon SageMaker
Data Engineering
Amazon RDS
Remote Desktop Services
Snow Flake Schema
ELT
JavaScript
Software Engineering
Technical Direction
Enterprise Software
Change Data Capture
Continuous Integration and Development
DaaS
React.js
Data Stewardship
Access Control
RBAC
Documentation
Data Flow
Testing
Quality Assurance
Software Development
Software Development Methodology
Stress Testing
Workflow
Orchestration
Computer Networking
Cloud Security
Authorization
SSO
Identity Management
API
Provisioning
Management
IaaS
Terraform
Data Quality
Data Validation
Meta-data Management
Scripting
Python
Node.js
Dashboard
DevOps
Continuous Integration
Continuous Delivery
Version Control
GitHub
End-user Training
Training
Process Automation
Business Process
Collaboration
Cloud Computing
Communication
Regulatory Compliance
Policies and Procedures
Amazon Web Services
Data Governance
Data Management
DICE
Change Management
Content Management
Configuration Management
Job Details
Senior Data & Quality Full Stack developer
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 role is critical to implementing technology solutions that enhance business decision-making, data
governance, and operational efficiency across all business units, in alignment with the
agency's architectural roadmap, enterprise goals, and data policy framework. This position will support
the technology build-out of data capabilities aligned with DBHDS's Data Policy, including but not limited
to:
Data Quality Dashboards for monitoring and remediation
Data Classification and Retention mechanisms
User-facing portals for secure login and interaction
Workflow-enabled processes for data lifecycle management
Integration with AWS-native services such as SageMaker Studio, Glue, Athena.
This position requires technical proficiency in AWS cloud development with Data engineering & full stack
skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs, lambda, API Gateway, node js, react
js , python etc., , adherence to software engineering best practices, appreciation to data management
principle 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.
Design and develop cloud-native micro frontend applications and data service APIs using AWS,
React, and NodeJS.
Build data quality monitoring dashboards and tools to support data stewardship and policy
compliance.
Implement data classification and retention logic using metadata tagging, lifecycle policies, and
automation.
Develop secure user portals with role-based access control (RBAC), Single Sign-On (SSO), and
integration with AWS Cognito.
Enable workflow automation for data intake, validation, approval, and archival processes.
Create and maintain solution documentation, including architecture diagrams, data flow,
testing, and support procedures.
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.
Experience with data quality frameworks, data validation, and anomaly detection.
Familiarity with data classification models, metadata management, and retention policies.
Ability to write scripts and automation using Python and NodeJS.
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.
Familiarity with data governance frameworks such as DAMA-DMBOK or NIST Data Management
#DICE
#Remote
#LI-CM1
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 role is critical to implementing technology solutions that enhance business decision-making, data
governance, and operational efficiency across all business units, in alignment with the
agency's architectural roadmap, enterprise goals, and data policy framework. This position will support
the technology build-out of data capabilities aligned with DBHDS's Data Policy, including but not limited
to:
Data Quality Dashboards for monitoring and remediation
Data Classification and Retention mechanisms
User-facing portals for secure login and interaction
Workflow-enabled processes for data lifecycle management
Integration with AWS-native services such as SageMaker Studio, Glue, Athena.
This position requires technical proficiency in AWS cloud development with Data engineering & full stack
skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs, lambda, API Gateway, node js, react
js , python etc., , adherence to software engineering best practices, appreciation to data management
principle 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.
Design and develop cloud-native micro frontend applications and data service APIs using AWS,
React, and NodeJS.
Build data quality monitoring dashboards and tools to support data stewardship and policy
compliance.
Implement data classification and retention logic using metadata tagging, lifecycle policies, and
automation.
Develop secure user portals with role-based access control (RBAC), Single Sign-On (SSO), and
integration with AWS Cognito.
Enable workflow automation for data intake, validation, approval, and archival processes.
Create and maintain solution documentation, including architecture diagrams, data flow,
testing, and support procedures.
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.
Experience with data quality frameworks, data validation, and anomaly detection.
Familiarity with data classification models, metadata management, and retention policies.
Ability to write scripts and automation using Python and NodeJS.
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.
Familiarity with data governance frameworks such as DAMA-DMBOK or NIST Data Management
#DICE
#Remote
#LI-CM1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.