Data engineer serp_jobs.h1.location_city

Please note before applying : This position is required to work onsite at our headquarters in South Jordan UT. We are only considering local candidates for this position! Thank you!

The Ultradent Data & Analytics Team is looking for a passionate and solution oriented Azure AI & Data Engineer to help the implementation of data pipelines and supporting data architecture on Azure to increase our analytical solutions that deepen our collective understanding of business activity influence innovation and deliver actionable insights.

The ideal candidate has outstanding business acumen a restlessness to answer why questions excellent analytical abilities strong technical skills superior written and verbal communication skills.

The Azure ML & Data Engineer is responsible for building implementing automating services and supporting Microsoft BI and AI solutions in the cloud. The candidate will design architectures for data integration and processing to provide high quality datasets and utilize Big Data processing tools to build data and ML pipelines on a modern technology stack. Your area of expertise covers the creation of a complete end-to-end data pipeline and AI lifecycle : from the import of structured and unstructured raw data its processing and transformation metadata management to the implementation of scalable analytics and model deployment platforms.

The right individual will possess experience in all stages of database and ML project work (requirements logical and physical design implementation testing and deployment). The Azure AI & Data Engineer should have a firm grasp of modern BI implementation and MLOps methodologies and will have had in-depth experience with the Microsoft BI Stack (SSIS / Data Factory Azure Data Warehouse Azure Analytics / SSAS and PowerBi) and Azure AI platforms.

General & Core Engineering

• Thought leadership in technology innovation and transformation.
• Maintaining applications ensuring high availability performance and user experience.
• Creates and maintains optimal data pipeline architecture on Azure platform. Ensures that system designs adhere to solution architecture design and are traceable to functional as well as non-functional requirements.
• Designs relational and non-relational data stores on Azure. Builds analytical tools to provide actionable insights from key business performance metrics.
• Leverages Azure Data Factory and Databricks to assemble large complex data sets that meet end user and business requirements. Designs new solutions and services to improve overall user experience.
• Identifies designs and implements internal process improvements such as automating manual processes and optimizing data delivery. Defines system design standards to improve and sustain standardization.
• Expertise in Azure DevOps concepts and implementations including git CI / CD pipelines IaC docker containers and Work Items.
• Assists Manager-Data Administration in leading coordination with other staff to ensure data handling meets organizational objectives for data quality business process management and risk management.
• Provides technical mentoring to other team members for best practices on data engineering and cloud technologies.

Data Architecture and Governance

Defines and enforces logical and physical data models for both the Azure Data Lake and the Azure Synapse Analytics data warehouse.

Develops and maintains the multi-layered Data Lake architecture (e.g. Raw Bronze Silver Gold zones) to optimize for ingestion transformation and consumption of data by both BI and AI initiatives.

Establishes and monitors data quality checks and validation rules within data pipelines to maintain a high level of trust in the datasets used for reporting and machine learning models.

AI / ML and Automation

Develops trains and deploys machine learning models using Azure Machine Learning (AML) / Azure AI Studio or equivalent platforms.

Architects and implements low-code / no-code AI workflow automation using n8n or equivalent tools (e.g. Power Automate Zapier Apache Airflow).

Preferred Technology Experience

Core Experience and Education

Ultradent is an Equal Opportunity Employer. We are a global culture where differences and perspectives are sought after welcomed and embraced. We consider all qualified applicants fairly based on their experience skills and potential to contribute to our team. Our core values Integrity care quality innovation and hard work- guide us daily. These values when balanced shape our workplace culture and ensure that we remain focused on our vision while maintaining a professional and inclusive environment.

VEVRAA Federal Contractor : For more information please contact us at

PWDNET

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1