Sr. Data & AI Engineer

ECS Federal • Work from home, VA

7d • Remote

About The Position

Everforth ECS is seeking a Sr. Data and AI Engineer to work remotely as a key member of its high-performing team. The role provides data expertise for product discovery, combining technical, business, and customer needs into achievable objectives and driving their completion. As an expert in delivering technical projects, the Engineer identifies opportunities to improve processes, organizational practices, technical innovation, and culture, then leads cross-functional team members in developing and delivering improvements.

The Engineer applies technical expertise across multiple disciplines to share effective approaches and solutions with customers, improve complex strategic solutions, and meet enterprise needs. Strong candidates have experience identifying strategic improvement opportunities, building interest and buy-in, and executing on a vision.

The position also supports organizational understanding of current drivers and challenges, business development, architectural roadmaps, hands-on solution delivery, and customer-facing support. Salary range: $160,000–$185,000. Candidates must be U.S. citizens and able to obtain a Public Trust Clearance.

Requirements

• Must be a U.S. citizen.
• Must be able to obtain a Public Trust Clearance.
• Bachelor's degree.
• 10+ years of IT experience, including design, analysis, and implementation of large-scale, complex data architectures.
• 5+ years of data experience evaluating, architecting, and building AI and Generative AI tools.
• Strong ability to communicate technical solutions to stakeholders at multiple leadership levels, build relationships, provide guidance, and explain business value.
• Experience mentoring data engineers, establishing best practices, providing code review, and explaining business value to the team.
• Experience working in an Agile environment and using advanced design and engineering best practices.
• Knowledge of data management and data architecture concepts, data warehousing and big data tools, data analytics, and applicable 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.

Responsibilities

• Support product discovery by combining technical, business, and customer needs into achievable objectives and driving their completion.
• Identify process, organizational-practice, technical-innovation, and cultural improvement opportunities, and lead cross-functional teams to develop and deliver improvements.
• Share technical approaches and solutions with customers to improve complex strategic solutions and meet enterprise needs.
• Serve as a central facilitator in helping the organization understand its current drivers and challenges.
• Support business development by maturing strategic solution ideas and aligning them with customer needs.
• Develop a roadmap that links deployment of architectural capabilities to the organization's inherent data challenges.
• Work hands-on with developers to deliver solutions and provide customer-facing support and solutioning.
• Mentor data engineers, establish best practices, conduct code reviews, and help the team understand the business value of solutions.
• Build data solutions that improve business insights, inform operational decisions, and support performance management.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior