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
Preferred Qualifications- 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
Skills Required
- Must be a US 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
- Serve as a central facilitator to understand organizational drivers and challenges
- Support business development by maturing strategic solution ideas and aligning with customer needs
- Ability to develop a roadmap linking architectural capability deployment to organizational data challenges
- Ability to work hands-on with developers to deliver solutions and provide customer-facing support and solutioning
- Strong ability to communicate technical solutions with stakeholders and explain business value
- Experience mentoring data engineers, establishing best practices, and performing code reviews
- Experience working in an Agile environment using advanced design and engineering best practices
- Building solutions that use data to improve business insights, operational decisions, and performance management
- Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, and Data Analytics
- 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
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
