2

Remote Semantic Jobs in Tennessee (NOW HIRING)

Remote Semantic information

What are some common challenges faced by professionals working in remote semantic analysis roles, and how can they be addressed?

Professionals in remote semantic analysis roles often encounter challenges such as limited direct communication with colleagues, managing large and complex datasets, and maintaining alignment on project goals. To address these, it's important to proactively engage in regular virtual meetings, utilize collaborative tools for version control and annotation, and establish clear documentation standards. Building strong communication habits and staying updated on the latest semantic technologies can also help remote teams stay efficient and aligned.

What is the difference between Remote Semantic vs Remote Data Analyst?

AspectRemote SemanticRemote Data Analyst
Required CredentialsBachelor's in Linguistics, Computer Science, or related fields; knowledge of semantic technologiesBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or AI companies, remote or hybridData-focused teams, in tech, finance, or healthcare sectors, remote or hybrid
Employer & Industry UsageTech companies, AI startups, NLP projectsBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

Remote Semantic professionals focus on understanding and applying semantic technologies, often in NLP and AI projects, requiring linguistics or computer science credentials. Remote Data Analysts analyze data sets to inform business decisions, requiring strong statistical skills. While both roles can be remote and work in tech environments, their core skills and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Semantic Analyst, and why are they important?

To thrive as a Remote Semantic Analyst, you need a strong background in linguistics, data analysis, and natural language processing, often supported by a relevant degree. Familiarity with semantic annotation tools, machine learning platforms, and programming languages like Python is commonly required. Attention to detail, critical thinking, and effective remote communication are crucial soft skills in this role. These competencies ensure accurate analysis and interpretation of language data, supporting the development of advanced AI and search technologies.

What are remote semantic jobs?

Remote semantic jobs involve working with the meaning and interpretation of language, often in the context of natural language processing (NLP), artificial intelligence, or data analysis, but performed from a remote location. These roles may include tasks such as semantic annotation, ontology development, or improving search and recommendation systems. Professionals in these jobs typically use linguistic, analytical, and technical skills to help computers better understand human language. Remote semantic jobs are common in tech companies, research institutions, and organizations focused on language technologies.
What are popular job titles related to Remote Semantic jobs in Tennessee? For Remote Semantic jobs in Tennessee, the most frequently searched job titles are:
Reporting Engineer - Hybrid / Remote

Reporting Engineer - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers


Job description

Reporting Engineer - Hybrid / Remote Opportunity
  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas.

Role Summary
This role is responsible for designing, delivering, and operating secure, compliant, and high-performing healthcare reporting solutions at enterprise scale. The Reporting Engineer develops and optimizes Power BI semantic models, authors production-quality DAX, enforces robust security controls, and implements disciplined CI/CD practices for analytics delivery.
The role partners closely with data engineering to integrate curated datasets (claims, EHR, FHIR) into a governed semantic layer that supports clinical, operational, and financial decision-making.
Key Responsibilities
1) Modeling & Report Engineering
  • Design and implement Power BI semantic models (Import, Direct Lake, DirectQuery, and Composite) aligned with star schema and dimensional modeling best practices
  • Author robust DAX, including calculated columns, measures, and calculation groups, with careful management of filter context, row context, and time intelligence (e.g., role-playing dates)
  • Build enterprise-grade dashboards and reports in Power BI Service with emphasis on usability, accessibility, and consistent KPI definitions
  • Implement incremental refresh, aggregations, and hybrid tables to support large-scale datasets

2) Performance & Scale
  • Optimize models through tuning of cardinality, relationships, encoding, partitioning, and aggregation strategies to meet report performance SLAs
  • Design solutions that scale across Power BI capacities (Fabric/F capacities, autoscale, and load management) using usage-driven optimization

3) Governance, Security & Compliance
  • Implement and manage Row-Level Security (RLS) and Object-Level Security (OLS) aligned with least-privilege access and separation of duties
  • Enforce HIPAA-compliant handling of PHI, including masking, minimization, and retention controls across development, test, and production environments
  • Integrate with Microsoft Purview for lineage, glossary, and classification; document and certify datasets and metrics
  • Define and operationalize KPIs and metric definitions within the semantic layer to ensure consistency across reporting products

4) Data Sources & Platform Integration
  • Partner with data engineering to source data from Azure Fabric and Lakehouse platforms, Azure Synapse, Azure SQL, Databricks/Delta Lake, Snowflake, and on-premises SQL via On-Premises Data Gateway
  • Build parameterized Power BI Dataflows and Dataflows Gen2 (where applicable) to support reusable transformations aligned with medallion (bronze/silver/gold) datasets
  • Support integration of healthcare data standards including FHIR R4, HL7 v2, and X12 (837/835) into the semantic model for payer and provider analytics use cases (e.g., denials, length of stay, readmissions, quality measures)

5) Release Engineering & Observability
  • Implement CI/CD practices for Power BI, including Git-enabled workspaces, deployment pipelines, pull request-based reviews, Tabular Editor scripting, and automated best practice analysis (BPA)
  • Monitor refresh SLAs, gateway health, query performance, capacity utilization, and usage analytics; drive proactive performance tuning and cost governance
  • Establish standards for versioning, certification, and deprecation of datasets and reports; maintain clear and durable documentation

6) Stakeholder Enablement
  • Translate clinical, operational, and financial metrics into well-defined technical measures in collaboration with subject matter experts (Finance, Quality, Care Management, Revenue Cycle)
  • Develop reusable report templates, themes, and field parameter patterns to accelerate governed self-service analytics
  • Provide enablement and guidance to analysts on DAX patterns, semantic modeling techniques, and performance anti-patterns

Required Qualifications
  • 3-6 years of experience in BI or reporting engineering, with at least 3 years focused on Power BI at scale
  • Advanced proficiency in:

    • DAX, Power Query (M), Power BI Desktop and Service
    • Tabular Editor and DAX Studio
    • Dimensional modeling patterns, including star schema, role-playing dimensions, calculation groups, and aggregations
    • Power BI security, including RLS/OLS, workspace and app permissions, tenant settings, and data classification

  • Demonstrated experience delivering reporting solutions on healthcare data such as EHR encounters, claims, authorizations, registries, and quality measures
  • Strong SQL skills and experience with one or more data platforms: Microsoft Fabric, Azure Synapse, Azure SQL, Databricks/Delta Lake, or Snowflake
  • Solid understanding of BI DevOps practices, including Git, deployment pipelines, code review, artifact promotion, and testable analytics patterns

Preferred Qualifications
  • Experience with Microsoft Fabric, including Direct Lake, OneLake shortcuts, and semantic model governance
  • Power BI tenant and capacity administration with an emphasis on performance and cost management at enterprise scale
  • Familiarity with Microsoft Purview lineage, glossary, and sensitivity labeling
  • Exposure to additional BI or semantic-layer tools (e.g., Tableau, Looker, Sigma, dbt metrics)
  • Relevant certifications, such as PL-300, DP-500, DP-203, or platform-specific certifications (Databricks, Snowflake)
  • Knowledge of healthcare data frameworks and programs, including FHIR R4, HL7 v2, X12, HEDIS, STARS, and HIPAA Security and Privacy Rule fundamentals

Benefits:
  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance
  • PTO
  • 401(k) retirement plan with a company match
  • And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.
*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.
*No Recruiters Please
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

What Surgery Partners employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom