# Sr. Data & AI Engineer Remote from[USA](https://jobicy.com/job-region/usa.md)Salary, yearly, USD 160,000 - 185,000Department [Data Science & Analytics](https://jobicy.com/categories/data-science.md) Employment type Full Time, Job posted12 Jun 2026Apply before12 Jul 2026Experience level Senior Views / Applies 1339 / 69 [About company](https://jobicy.com/company/ecs.md) * Share About [ECS](https://jobicy.com/company/ecs.md) Partnering with leading organizations to deliver powerful solutions for a complex world. [Information Technology & Services](https://jobicy.com/company-category/information-technology-services.md) * 1993 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. ### AI Summary Everforth ECS seeks a Sr. Data & AI Engineer to work remotely, providing critical support in product discovery and leading cross-functional teams. The role involves identifying improvements in processes, organizational practices, and technical innovation, and applying expertise across multiple disciplines. Candidates must be US citizens able to obtain a Public Trust Clearance, with 10+ years of IT experience and 5+ years in Data and AI. The position requires strong communication skills, mentoring, and experience with Azure, AWS, Databricks, Snowflake, and other data platforms. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight The role requires deep technical expertise, leadership, and the ability to navigate complex organizational challenges, making it highly demanding. The combination of clearance requirements, seniority, and cross-functional collaboration increases the difficulty. ### Salary Analysis Median Highly Competitive USD172,500US Market USD140k – 200k 0 USD220k AI Insight The offered salary of $160,000-$185,000 is competitive, falling within the typical range for senior data and AI engineers in the US market. The median aligns well with industry standards for roles requiring clearance and extensive experience. ### Core Skills Required [Data Engineering](https://jobicy.com/jobs?search_keywords=Data+Engineering.md) [Artificial Intelligence](https://jobicy.com/jobs?search_keywords=Artificial+Intelligence.md) [Azure](https://jobicy.com/jobs?search_keywords=Azure.md) [AWS](https://jobicy.com/jobs?search_keywords=AWS.md) [Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md) [Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md) [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [Data Architecture](https://jobicy.com/jobs?search_keywords=Data+Architecture.md) [Generative AI](https://jobicy.com/jobs?search_keywords=Generative+AI.md) [Leadership](https://jobicy.com/jobs?search_keywords=Leadership.md) ### Cover Letter Sample I am writing to express my strong interest in the Sr. Data & AI Engineer position at Everforth ECS. With over 10 years of IT experience and 5+ years specializing in data and AI, I bring a proven track record of leading complex data architecture projects and driving AI innovation. * I have deep expertise in Azure, AWS, Databricks, Snowflake, and other modern data platforms, and I am adept at translating business needs into technical solutions. * My experience includes mentoring data engineers, establishing best practices, and collaborating across teams to deliver high-impact results. * I am a US citizen eligible for a Public Trust Clearance and excited about the opportunity to support your customers in solving their most challenging data problems. * I look forward to the possibility of contributing to your team and driving strategic improvements. Copy ### Sample Interview Questions Can you describe a complex data architecture project you led from concept to implementation? What challenges did you face and how did you overcome them?I led a project to migrate a legacy data warehouse to a cloud-native architecture using Databricks and Delta Lake. Challenges included data silos, inconsistent schemas, and ensuring minimal downtime. I coordinated with cross-functional teams, defined a phased migration approach, and implemented automated data quality checks. The result was a scalable, cost-effective platform that improved query performance by 60%.How do you approach integrating generative AI into existing data pipelines? Can you give an example?I start by identifying use cases where generative AI can add value, such as automating report generation or enriching data. For instance, I implemented an LLM-based system that ingested operational data and generated natural language summaries. I ensured data privacy and model governance, and integrated it via API endpoints within the existing pipeline built on Airflow and Snowflake.What are your strategies for mentoring junior data engineers and fostering a culture of best practices?I hold regular code reviews, pair programming sessions, and knowledge-sharing meetings. I create documentation and standards for data modeling, naming conventions, and testing. I encourage team members to take ownership of components, gradually increasing responsibility. By celebrating successes and learning from failures, I build a supportive environment that promotes continuous improvement.Describe a time when you had to communicate a technical solution to non-technical stakeholders. How did you ensure understanding and buy-in?I presented a proposed data lake architecture to business leaders by focusing on business outcomes: faster insights, cost savings, and scalability. I used analogies (e.g., comparing data lakes to a digital library) and visual diagrams. I also led a Q&A session to address concerns, and provided a roadmap with clear milestones. This resulted in unanimous approval and funding.What is your experience with cloud-native data and AI technologies on Azure and AWS? How do you decide which platform to use?I have extensive hands-on experience with Azure Synapse, Data Factory, and AWS Glue, SageMaker. The choice depends on existing infrastructure, specific service capabilities, and cost. For example, if the organization already uses Azure AD and Office 365, I prefer Azure. For maximum flexibility and advanced ML services, I lean towards AWS. I also consider vendor lock-in and team skill sets. 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](https://ecstech.com/careers/benefits) 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 Show more [Apply now >](https://jobicy.com/jobs/146252-sr-data-ai-engineer.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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