Sr. Data & AI Engineer
About The Position
Everforth ECS is seeking a remote Sr. Data and AI Engineer to serve as a key member of a high-performing team. The role provides data expertise in product discovery, combining technical, business, and customer needs into achievable objectives and driving their completion. The engineer identifies opportunities to improve processes, organizational practices, technical innovation, and culture, then leads cross-functional team members in designing and delivering improvements. The engineer applies technical expertise across multiple disciplines to share approaches and solutions with customers, improve complex strategic solutions, and meet enterprise needs. Strong candidates have experience identifying strategic improvement opportunities, creating interest and buy-in, and executing on a vision. Salary range: $160,000–$185,000. General benefits information is available at https://ecstech.com/careers/benefits.
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.
- Ability to facilitate organizational understanding of current drivers and challenges.
- Ability to develop roadmaps that connect architectural capability deployment with organizational data challenges.
- Ability to work hands-on with developers and provide customer-facing support and solutioning.
- Strong communication skills for explaining technical solutions and business value to stakeholders at different leadership levels.
- Experience mentoring data engineers, establishing best practices, conducting code reviews, and explaining business value.
- Experience working in an Agile environment using advanced design and engineering best practices.
- Knowledge of data management and data architecture, 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 challenges and improvement opportunities in processes, organizational practices, technical innovation, and culture.
- Lead cross-functional team members in developing and delivering improvements.
- Share technical approaches and solutions with customers to improve complex strategic solutions and meet enterprise needs.
- Help the organization understand its current drivers and challenges.
- Support business development by maturing strategic solution ideas and aligning them with customer needs.
- Develop roadmaps linking deployment of architectural capabilities to the organization's data challenges.
- Work hands-on with developers to deliver solutions and provide customer-facing support and solutioning.
- Communicate technical solutions to stakeholders at different leadership levels, building relationships, providing guidance, and explaining business value.
- Mentor data engineers, establish best practices, conduct code reviews, and help teams understand the business value of solutions.
- Build solutions that use data to improve business insights, operational decisions, and performance management.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
