Senior Data and AI Engineer jobs in United States
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ECS ยท 21 hours ago

Senior Data and AI Engineer

ECS is a leading mid-sized provider of technology services to the United States Federal Government, focused on delivering technical talent to support federal agencies. The Senior Data and AI Engineer will play a crucial role in product discovery, merging technical, business, and customer needs while driving improvements in processes and solutions across multiple disciplines.

Artificial Intelligence (AI)Cloud InfrastructureComplianceConsultingCyber SecurityInformation TechnologyMachine LearningSecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and drive the completion of those objectives
Identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements
Apply their technical expertise across multiple disciplines to share the best approaches and solutions with customers to improve complex strategic solutions and meet enterprise needs
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

Qualification

Data ArchitectureAIGenerative AICloud TechnologiesData ManagementAgile EnvironmentData AnalyticsMentoringTechnical CommunicationPythonJavaPostgreSQLBash ScriptingAPIs DevelopmentCI/CD Pipeline

Required

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

Preferred

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

Company

ECS is a fast-growing 4,000-person, $1.2B provider of advanced technology solutions for federal civilian, defense, intelligence, and commercial customers.

Funding

Current Stage
Late Stage
Total Funding
unknown
2018-01-31Acquired
2015-04-10Private Equity

Leadership Team

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Keith McCloskey
VP / Chief Technology Officer
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Ryan Garner
Chief Financial Officer
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Company data provided by crunchbase