[Remote] Sr. Data & AI Engineer
Note: The job is a remote job and is open to candidates in USA. ECS is seeking a Senior Data and AI Engineer to work remotely as a key member of its high-performing team. The role supports product discovery, translates technical, business, and customer needs into achievable objectives, leads cross-functional improvements, and delivers complex strategic data and AI solutions for enterprise needs.
Responsibilities
- They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives
- As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements
- They will also apply their technical expertise across multiple disciplines to share the best approaches and solutions with our 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
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
- 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
- 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
- Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision
Benefits
- Remote work
Company Overview