We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
AI and Data Analytics Engineer
Location
United States
Posted
7 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. If you're passionate about data and AI, this is your chance to make a difference in a remote-setting environment.
- Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies.
- Collaborate with teams to define data and AI roadmaps aligning with business objectives.
- Develop reference architectures and patterns for data services and AI applications.
- Shape data service standards and contribute to project planning and execution.
- Provide technical leadership and mentorship to teams.
- Coordinate integration with third-party systems and support vendor evaluations.
Qualifications
- 7+ years of experience in data engineering, analytics engineering, or AI application development.
- Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture.
- Expertise in Microsoft Fabric and AI Foundry technologies.
- Proficiency in SQL, Python, and KQL with experience in performance tuning.
- Ability to implement retrieval-augmented generation pipelines and secure data applications.
- Excellent communication skills to explain complex technical topics to diverse audiences.
Benefits
- Competitive salary range of $140,000 to $170,000 annually.
- Work remotely with flexible hours.
- Opportunities for professional development and training.
- Collaborative and innovative work environment.
- Access to the latest tools and technologies in the field.
Job Requirements
- 7+ years of experience in data engineering, analytics engineering, or AI application development.
- Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture.
- Expertise in Microsoft Fabric and AI Foundry technologies.
- Proficiency in SQL, Python, and KQL with experience in performance tuning.
- Ability to implement retrieval-augmented generation pipelines and secure data applications.
- Excellent communication skills to explain complex technical topics to diverse audiences.
Benefits
- Competitive salary range of $140,000 to $170,000 annually.
- Work remotely with flexible hours.
- Opportunities for professional development and training.
- Collaborative and innovative work environment.
- Access to the latest tools and technologies in the field.
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