Principal Advanced Analytics Engineer

Reston, VA - USA

Monthly Salary: $ 160 - 180

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Position Overview:

Endurance IT Services is supporting a client in advancing their enterprise-wide AI initiatives. We are seeking a Principal Advanced Analytics Engineer who will lead the technical vision and execution of modern AI ML and BI solutions built on Microsoft technologies. This role is ideal for a seasoned engineer who excels at translating complex business challenges into scalable analytical products guiding engineering standards and serving as a strategic partner to both technology and business leaders.

Required Experience & Skills:

8 years of experience in data engineering analytics or related fields including 3 years designing AI/ML architectures or enterprise-grade machine learning solutions.
Strong communication collaboration and customer engagement skills with a demonstrated ability to work closely with nontechnical stakeholders.
Advanced proficiency across the Microsoft data and analytics ecosystem including Microsoft Fabric Azure Machine Learning Azure Synapse Azure Data Factory Power BI Lakehouse/Warehouse architectures Spark Python Notebooks Pipelines and Dataflows.
Handson experience developing validating and deploying predictive and generative AI modelsincluding large language modelsusing Fabric and Azure ML.
Expertise in building dimensional and starschema data models to support analytics reporting and AI-driven applications.
Proven experience implementing MLOps practices such as CI/CD for ML automated monitoring and model lifecycle management.
Strong understanding of data governance including security access controls lineage and compliance with internal and external standards.

Key Responsibilities:

Collaborate with business stakeholders and senior IT leadership to design build and deploy predictive and prescriptive AI/ML models that align with organizational goals.
Establish and maintain engineering best practices architectural guidelines and quality frameworks for advanced analytics solutions.
Implement endtoend MLOps processes including CI/CD pipelines model versioning automated testing observability drift monitoring and retraining workflows within Microsoft Fabric and Azure ML.
Promote Responsible AI principles by ensuring model fairness transparency explainability and compliance with regulatory and internal governance standards.
Design and optimize enterprise data modelssuch as dimensional and star schemasto support business intelligence automation and AI agent workloads.
Partner with analytics and insights teams to deliver highperformance scalable and reliable data products.
Ensure adherence to security dataaccess governance lineage tracking and enterprise privacy requirements.
Stay ahead of emerging AI ML and BI capabilities; evaluate new technologies and introduce innovative tools and approaches to the organization.
Provide mentorship to data and analytics engineers fostering skill development technical growth and effective problem-solving practices.

About Us:

Endurance IT Services delivers comprehensive Managed IT Services Cybersecurity Solutions and IT Consulting empowering organizations to stay secure efficient and resilient. Our team also specializes in Staff Augmentation supporting clients with Direct-Hire Contract-to-Hire and Contract placements as well as internal full-time opportunities.

Because we work closely with multiple clients certain opportunities may evolvebut our priority remains helping candidates find the role that best fits their skills and career goals.

Position Overview:Endurance IT Services is supporting a client in advancing their enterprise-wide AI initiatives. We are seeking a Principal Advanced Analytics Engineer who will lead the technical vision and execution of modern AI ML and BI solutions built on Microsoft technologies. This role is ide...

Position Overview:

Required Experience & Skills:

8 years of experience in data engineering analytics or related fields including 3 years designing AI/ML architectures or enterprise-grade machine learning solutions.
Strong communication collaboration and customer engagement skills with a demonstrated ability to work closely with nontechnical stakeholders.
Advanced proficiency across the Microsoft data and analytics ecosystem including Microsoft Fabric Azure Machine Learning Azure Synapse Azure Data Factory Power BI Lakehouse/Warehouse architectures Spark Python Notebooks Pipelines and Dataflows.
Handson experience developing validating and deploying predictive and generative AI modelsincluding large language modelsusing Fabric and Azure ML.
Expertise in building dimensional and starschema data models to support analytics reporting and AI-driven applications.
Proven experience implementing MLOps practices such as CI/CD for ML automated monitoring and model lifecycle management.
Strong understanding of data governance including security access controls lineage and compliance with internal and external standards.

Key Responsibilities:

Collaborate with business stakeholders and senior IT leadership to design build and deploy predictive and prescriptive AI/ML models that align with organizational goals.
Establish and maintain engineering best practices architectural guidelines and quality frameworks for advanced analytics solutions.
Implement endtoend MLOps processes including CI/CD pipelines model versioning automated testing observability drift monitoring and retraining workflows within Microsoft Fabric and Azure ML.
Promote Responsible AI principles by ensuring model fairness transparency explainability and compliance with regulatory and internal governance standards.
Design and optimize enterprise data modelssuch as dimensional and star schemasto support business intelligence automation and AI agent workloads.
Partner with analytics and insights teams to deliver highperformance scalable and reliable data products.
Ensure adherence to security dataaccess governance lineage tracking and enterprise privacy requirements.
Stay ahead of emerging AI ML and BI capabilities; evaluate new technologies and introduce innovative tools and approaches to the organization.
Provide mentorship to data and analytics engineers fostering skill development technical growth and effective problem-solving practices.

About Us:

Because we work closely with multiple clients certain opportunities may evolvebut our priority remains helping candidates find the role that best fits their skills and career goals.