Note: The job is a remote job and is open to candidates in USA. ECS is a federal segment of Everforth, a global organization delivering advanced technology solutions in data and AI. The Sr. Data and AI Engineer will be responsible for providing critical support in product discovery, merging technical, business, and customer needs while leading cross-functional teams to deliver improvements in data architecture and AI tools.

Responsibilities

• Serve as a central facilitator in helping the organization to understand their current drivers and challenges
• Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs
• Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization
• Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning
• Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions
• Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions
• Experience working in Agile environment leveraging advanced design and engineering best practices
• Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management
• Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools
• Experience with Azure and AWS Cloud native data and AI technologies
• Experience with Databricks, SnowFlake, Palantir, and other large data platforms

Skills

• Must be a US Citizen
• Must be able to obtain a Public Trust Clearance
• Bachelor's degree
• 10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures
• 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools
• Serve as a central facilitator in helping the organization to understand their current drivers and challenges
• Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs
• Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization
• Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning
• Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions
• Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions
• Experience working in Agile environment leveraging advanced design and engineering best practices
• Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management
• Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools
• Experience with Azure and AWS Cloud native data and AI technologies
• Experience with Databricks, SnowFlake, Palantir, and other large data platforms
• Experience with DHS and knowledge of DHS standards a plus
• Demonstrated ability to adequately plan and meet delivery objectives and maintain adequate service levels in a highly dynamic, complex environments
• Ability to vet new and novel technologies in the big data space and make recommendations and articulate risk involved with each solution
• Experience with Python, Django, Flask, Java, PostgreSQL Vector, Nifi, Flask, Bash scripting, APIs development, CI/CD pipeline, as well as, multiple development environments (on-prem vs cloud)
• Understanding technical delivery tools like source code management, agile management, data analysis and dashboarding, and ticket management
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space
• Proven success in consulting and advising customers

Benefits

• General Description Of Benefits

Company Overview