Advanced Analytics Engineer Senior
TypeFull-time job
LocationUnited States
Posted4 hours ago
What We Offer
Join Novant Health's Enterprise Analytics team and help build scalable data solutions that drive smarter healthcare decisions. As an Advanced Analytics Engineer Senior, you will design, develop, and support enterprise data products that transform complex data into trusted, analytics-ready assets for reporting, dashboards, and advanced analytics.
Schedule: 8:00AM – 5:00PM Monday - Friday (On call support required as needed)
Location: Remote
Department: SPX Governance
**No immigration sponsorship available for this role.**
Key Responsibilities:
Design, build, test, and maintain scalable data products and dimensional data models.
Develop curated datasets, data marts, and reusable analytics solutions.
Optimize data for Power BI and other reporting and analytics platforms.
Collaborate with business and technical teams to deliver high-quality data solutions.
Ensure data quality, governance, security, performance, and reliability.
Mentor junior team members and promote data engineering best practices.
What You'll Do
Experience with data warehousing, dimensional modeling, and data engineering.
Strong SQL skills and experience with cloud-based data platforms.
Hands-on experience with Databricks, Unity Catalog, and Power BI preferred.
Passion for solving complex data challenges and delivering business value.
What We're Looking For
Education: Bachelors Degree, required. Bachelor’s degree in computer science or information systems required. In lieu of a bachelor’s degree, four (4) years of additional relevant experience, beyond the minimum experience requirement, will be considered. Graduate Degree, preferred. Master’s degree in computer science or information systems
Experience: Minimum five years of analytics engineering, data engineering, data warehousing, analytics development, and/or business intelligence experience, required.
Additional Skills/Requirements (required):
Proficiency in SQL, Python, PySpark, Spark SQL, Delta Lake, and Databricks for data transformation and analytics engineering
Strong knowledge of dimensional modeling, including facts, dimensions, conformed dimensions, bridges, aggregates, surrogate keys, slowly changing dimensions, and data grain
Experience developing curated data marts and reusable analytics assets using medallion architecture patterns
Experience building modular, maintainable transformation code for batch and incremental processing
Experience with orchestration and scheduling technologies such as Apache Airflow, Databricks Workflows, or similar tools, including dependency management and exception handling
Experience with Azure DevOps, Git, pull requests, code review, and CI/CD across development, UAT, and production
Understanding of data quality engineering, including unit testing, reconciliation, referential-integrity validation, and regression testing
Experience applying Databricks Unity Catalog, lineage, metadata, and secure access patterns to data products
Understanding of PHI/PII protection and healthcare privacy and security requirements
Ability to translate clinical, operational, and financial requirements into models, transformation rules, and acceptance criteria
Strong documentation, problem-solving, and communication skills
Additional Skills/Requirements (preferred):
Experience with Epic source data, including Clarity and Caboodle, and understanding of healthcare workflows and data domains
Experience supporting Power BI semantic models and DirectQuery performance
Experience with Delta Live Tables, APIs, or Azure Data Lake Storage
Experience with healthcare interoperability formats and standards such as HL7, FHIR, JSON, XML, and Parquet
Experience with dbt or comparable analytics engineering transformation and testing frameworks
Why Choose Novant Health?
At Novant Health, we believe remarkable care starts with compassion for our patients, our communities, and each other. We value belonging, courage, personal growth, and teamwork, creating a space where everyone is respected, supported, and safe to show up as their full selves.
Job Opening ID
196703Originally posted on Himalayas
Join Novant Health's Enterprise Analytics team and help build scalable data solutions that drive smarter healthcare decisions. As an Advanced Analytics Engineer Senior, you will design, develop, and support enterprise data products that transform complex data into trusted, analytics-ready assets for reporting, dashboards, and advanced analytics.
Schedule: 8:00AM – 5:00PM Monday - Friday (On call support required as needed)
Location: Remote
Department: SPX Governance
**No immigration sponsorship available for this role.**
Key Responsibilities:
Design, build, test, and maintain scalable data products and dimensional data models.
Develop curated datasets, data marts, and reusable analytics solutions.
Optimize data for Power BI and other reporting and analytics platforms.
Collaborate with business and technical teams to deliver high-quality data solutions.
Ensure data quality, governance, security, performance, and reliability.
Mentor junior team members and promote data engineering best practices.
What You'll Do
Experience with data warehousing, dimensional modeling, and data engineering.
Strong SQL skills and experience with cloud-based data platforms.
Hands-on experience with Databricks, Unity Catalog, and Power BI preferred.
Passion for solving complex data challenges and delivering business value.
What We're Looking For
Education: Bachelors Degree, required. Bachelor’s degree in computer science or information systems required. In lieu of a bachelor’s degree, four (4) years of additional relevant experience, beyond the minimum experience requirement, will be considered. Graduate Degree, preferred. Master’s degree in computer science or information systems
Experience: Minimum five years of analytics engineering, data engineering, data warehousing, analytics development, and/or business intelligence experience, required.
Additional Skills/Requirements (required):
Proficiency in SQL, Python, PySpark, Spark SQL, Delta Lake, and Databricks for data transformation and analytics engineering
Strong knowledge of dimensional modeling, including facts, dimensions, conformed dimensions, bridges, aggregates, surrogate keys, slowly changing dimensions, and data grain
Experience developing curated data marts and reusable analytics assets using medallion architecture patterns
Experience building modular, maintainable transformation code for batch and incremental processing
Experience with orchestration and scheduling technologies such as Apache Airflow, Databricks Workflows, or similar tools, including dependency management and exception handling
Experience with Azure DevOps, Git, pull requests, code review, and CI/CD across development, UAT, and production
Understanding of data quality engineering, including unit testing, reconciliation, referential-integrity validation, and regression testing
Experience applying Databricks Unity Catalog, lineage, metadata, and secure access patterns to data products
Understanding of PHI/PII protection and healthcare privacy and security requirements
Ability to translate clinical, operational, and financial requirements into models, transformation rules, and acceptance criteria
Strong documentation, problem-solving, and communication skills
Additional Skills/Requirements (preferred):
Experience with Epic source data, including Clarity and Caboodle, and understanding of healthcare workflows and data domains
Experience supporting Power BI semantic models and DirectQuery performance
Experience with Delta Live Tables, APIs, or Azure Data Lake Storage
Experience with healthcare interoperability formats and standards such as HL7, FHIR, JSON, XML, and Parquet
Experience with dbt or comparable analytics engineering transformation and testing frameworks
Why Choose Novant Health?
At Novant Health, we believe remarkable care starts with compassion for our patients, our communities, and each other. We value belonging, courage, personal growth, and teamwork, creating a space where everyone is respected, supported, and safe to show up as their full selves.
Job Opening ID
196703Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.