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Job Description:
Applicants must be authorized to work in the United States without the need for current or future visa sponsorship.
Position is onsite with a possible hybrid in Denver, Colorado
Position Summary:
The Data Engineer III is a senior-level data engineer role and is responsible for designing & building data pipelines for enabling value-based healthcare, population health management, and enterprise analytics. The data engineer will design, develop, maintain, and support cloud-based (Microsoft Azure) big data platform using modern data engineering design patterns and tools. This position will also play a key enabler role in designing & building modern data pipelines & features for delivery of AI agentic solutions. This position will also bridge the gap between on premise, SQL-based Data Warehousing solution and the Azure Databricks Lakehouse architecture, learning and supporting the existing proprietary system while working with technical leaders to further develop plans to migrate to a cloud-based solution.
Essential Functions:
- 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
Knowledge, Skills and Abilities:
- Minimum 6 years of experience required 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 required. 8-10 years preferred.
- Minimum 3 years of experience required 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 required.
- Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.
- Experience in data modeling and design for data warehouse, relational databases, and NoSQL data stores preferred.
- 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
Qualifications:
- Bachelor’s degree in computer science, information systems, or equivalent work experience
- 7+ years working with the following concepts and technologies:
- Modern data platforms, such as Databricks and Azure Data Factory
- Modern data engineering design & development using Python and SQL
- Relational and Dimensional Data Models, T-SQL, Microsoft SQL Server, etc.
- Data integration strategies and supporting technologies
- Electronic data exchange (FHIR, HL7, CSV, EDI, etc.)
- Minimum 6 years of experience required 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 required. 8-10 years preferred.
- Experience migrating on premise data warehousing solutions to Azure solutions (preferred)
- Experience with Visual Studio and .NET technologies such as C# (preferred)
- Experience working with common health care datasets (preferred)
- Experience working on an agile/scrum-driven software development team
- Home office that is HIPAA compliant for all remote or telecommuting positions as outlined by the company policies and procedures
Salary Range:
Base Salary Range: $93,225.60 - $137,966.40
Additional Compensation: Eligible for annual bonus based on individual and/or company performance.
Benefits: Includes medical, dental, and vision insurance; 401(k); paid time off (PTO); and Employee Assistance Program (EAP)
Application Deadline: Open until filled. Applications will be reviewed on a rolling basis.
How to Apply: Apply via careers page at