[Remote] Sr. Data and AI Engineer

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.ResponsibilitiesServe as a central facilitator in helping the organization to understand their current drivers and challengesSupport Business Development efforts through maturing strategic solution ideas and aligning them with customer needsAbility to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organizationAbility to work hands on with developers to deliver solutions and provide customer facing support and solutioningStrong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutionsExperience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutionsExperience working in Agile environment leveraging advanced design and engineering best practicesBuilding solutions that make use of data to improve business insights, help with operational decisions, and support performance managementKnowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and toolsExperience with Azure and AWS Cloud native data and AI technologiesExperience with Databricks, SnowFlake, Palantir, and other large data platformsSkillsMust be a US CitizenMust be able to obtain a Public Trust ClearanceBachelor's degree10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures5+ years of Data experience in evaluating, architecting, and building AI and Generative AI toolsServe as a central facilitator in helping the organization to understand their current drivers and challengesSupport Business Development efforts through maturing strategic solution ideas and aligning them with customer needsAbility to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organizationAbility to work hands on with developers to deliver solutions and provide customer facing support and solutioningStrong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutionsExperience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutionsExperience working in Agile environment leveraging advanced design and engineering best practicesBuilding solutions that make use of data to improve business insights, help with operational decisions, and support performance managementKnowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and toolsExperience with Azure and AWS Cloud native data and AI technologiesExperience with Databricks, SnowFlake, Palantir, and other large data platformsExperience with DHS and knowledge of DHS standards a plusDemonstrated ability to adequately plan and meet delivery objectives and maintain adequate service levels in a highly dynamic, complex environmentsAbility to vet new and novel technologies in the big data space and make recommendations and articulate risk involved with each solutionExperience 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 managementAbility to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology spaceProven success in consulting and advising customersBenefitsGeneral Description Of BenefitsCompany OverviewEverforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. It was founded in 2001, and is headquartered in Fairfax, Virginia, USA, with a workforce of 1001-5000 employees. Its website is https://www.ecstech.com.