Data and AI Engineer

ECS is a leading mid-sized provider of technology services to the United States Federal Government, and they are seeking a Data and AI Engineer to work remotely. The role involves providing critical support in product discovery, merging technical, business, and customer needs, and leading cross-functional teams to improve complex strategic solutions.

Responsibilities:

• Provide critical support in product discovery using data expertise to merge technical, business, and customer needs into achievable objectives
• Drive the completion of objectives and identify challenges and improvements to process, organizational practices, technical innovation, and culture
• Apply technical expertise across multiple disciplines to share best approaches and solutions with customers to improve complex strategic solutions and meet enterprise needs
• Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs
• Develop a roadmap linking the deployment of architectural capabilities within the organization to address inherent data challenges
• Work hands-on with developers to deliver solutions and provide customer-facing support and solutioning
• Communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions
• Mentor data engineers, establish best practices, provide code review, and help the team understand business value of solutions
• Work in an Agile environment leveraging advanced design and engineering best practices
• Build solutions that make use of data to improve business insights, help with operational decisions, and support performance management

Requirements:

• Must be a US Citizen
• Must be able to obtain a Public Trust Clearance
• Bachelor's degree
• 5+ 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