Sr. Data & AI Engineer

ECS Corporate Services; Fairfax (VA); Remote; USD 160,000 - 185,000; Full time

Job summary

Everforth ECS is seeking a Sr. Data and AI Engineer to work remotely. The role focuses on leading data and AI initiatives across Azure/AWS platforms, Databricks, Snowflake, and Palantir, while mentoring engineers and delivering enterprise-scale data solutions.

The ideal candidate has 10+ years IT experience, strong data architecture expertise, and hands-on delivery in Agile environments, able to align technical work with business goals and customer needs.

Qualifications

• 10+ years IT experience in design, analysis, and implementation of large-scale data architectures.
• 5+ years of Data experience in evaluating, architecting, and building AI tools (including Generative AI).
• Must be a US Citizen and able to obtain a Public Trust Clearance.

Responsibilities

• Lead cross-functional teams to deliver data and AI solutions that align with enterprise goals.
• Identify challenges and improvements across data, analytics, and AI initiatives; drive adoption and value realization.
• Mentor data engineers, perform code reviews, and promote best practices across the team.

Skills

Data architectures

AI & Generative AI

Cloud platforms

Databricks

Snowflake

Palantir

Agile

Mentoring

Data management concepts

Stakeholder communication

Education

Bachelor's degree

Tools

Azure

AWS

Databricks

Snowflake

Palantir

Job description

Everforth ECS is seeking a Sr. Data and AI Engineer to work remotely .The Sr. Data and AI Engineer will be a key member of our high performing team. 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. Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision.

Salary Range: $160,000 - $185,000

General Description of Benefits

• 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