Data Engineer III

Alpine Physician Partners is a recognized company committed to putting employees first. The Data Engineer III role involves designing and building data pipelines for value-based healthcare and enterprise analytics, utilizing cloud technologies to support advanced analytics and AI solutions.

Responsibilities:

• Owns solution design blueprints and architecture of the enterprise data platform features and functionality, including data ingestions, data integrations, data pipelines, data models, data quality, data governance
• Plays technical leadership role and leads other team members and guides them on solution design blueprints, data solutions development, and best practices for our enterprise data platform
• Designs, builds and maintains scalable, automated data pipelines to enable Reporting, Data Visualization, Advanced Analytics, Data Science, and Machine Learning solutions
• Supports critical data pipelines with a scalable distributed architecture, including data ingestion (streaming, events, and batch), data integration (ETL, ELT, Azure Data Factory), and distributed data processing using Databricks Data & Analytics and Azure Cloud Technology Stacks
• Builds cloud data solutions using multiple technologies, such as SQL, Python, Data Lake (Databricks Delta Lake), Cloud Data Warehouse (Azure Synapse), RDBMS, NoSQL databases
• Enable designing, implementation, and fine-tuning of AI applications including LLMs, RAG pipelines, and prompt engineering solutions for clinical and operational use cases
• Addresses issues in data flow logic and data model design, as well as the interoperability of new datasets with existing data models
• Participates in and conducts code-reviews for all changes to the codebase and conveys coding standards clearly and concisely
• Tests work on each assignment before working with Product Owners to ensure business requirements are fulfilled
• Coordinates identification of requirements and recommending new data features in conjunction with development manager, product owners, and department managers
• Acts as a subject matter expert by sharing information and providing support and training to others, as well as spearheading team projects and establishing goals and milestones for projects
• Ensures goals and commitments to the team are met
• Adheres to the company’s Compliance Program and to federal and state laws and regulations
• Other duties as assigned

Requirements:

• Minimum 6 years of experience in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms
• Minimum 3 years of experience in solution design blueprinting and leading technical team members towards delivery of robust enterprise-grade data platform solutions
• Strong proficiency in SQL and data analysis
• Ability to mentor others
• Excellent verbal and written communication skills
• Great customer service skills
• Great teamwork and leadership skills
• Independent problem-solving skills
• Self-motivated and self-managed
• Proficient in Microsoft Office Suite
• Bachelor's degree in computer science, information systems, or equivalent work experience
• 7+ years working with modern data platforms, such as Databricks and Azure Data Factory
• 7+ years working with modern data engineering design & development using Python and SQL
• 7+ years working with relational and Dimensional Data Models, T-SQL, Microsoft SQL Server, etc
• 7+ years working with data integration strategies and supporting technologies
• 7+ years working with electronic data exchange (FHIR, HL7, CSV, EDI, etc.)
• 8-10 years of experience in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms
• Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies
• Experience in data modeling and design for data warehouse, relational databases, and NoSQL data stores
• Experience migrating on premise data warehousing solutions to Azure solutions
• Experience with Visual Studio and .NET technologies such as C#
• Experience working with common health care datasets
• Experience working on an agile/scrum-driven software development team