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Remote Azure Data Engineer Jobs in Tennessee (NOW HIRING)

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

Location: Remote (Nashville, TN strongly preferred) Job-Type: Full-Time Role Overview: We are ... While this role does not require hands-on data engineering responsibilities, it demands close ...

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LabConnect

Vice President, Engineering

Johnson City, TN · On-site +1

$172K - $222K/yr

Job Summary The Vice President, Engineering provides strategic and operational leadership for ... Significant experience leading large-scale technology and data initiatives in Microsoft Azure ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

Build generative AI solutions including prompt engineering pipelines and LLM-based classification ... Cloud: Azure, Databricks * Version Control: GitLab * IDE: VS Code Work-life balance is at the ...

Humana

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

... of data protection products. For example, Privacera. * Understand and perform deployments on Azure ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Humana

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

... of data protection products. For example, Privacera. * Understand and perform deployments on Azure ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Humana

Senior Cybersecurity Engineer

Nashville, TN · Remote

$110K - $151K/yr

... of data protection products. For example, Privacera. * Understand and perform deployments on Azure ... Additional Information Remote/WAH requirements: * WAH requirements: Must have the ability to ...

Revecore

Sr. Network Engineer

Franklin, TN · Remote

$100K - $137K/yr

Remote, with occasional travel Occasional travel to Revecorelocations (Florence KY, Cherry Hill NJ ... data centers, Azure,AWSandmultiplecorporate offices. Key Responsibilities: * Design, deploy ...

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Remote Azure Data Engineer information

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Azure Data Engineer jobs in Tennessee? The most popular types of Azure Data Engineer jobs in Tennessee are:
What are popular job titles related to Remote Azure Data Engineer jobs in Tennessee? For Remote Azure Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in Tennessee look for? The top searched job categories for Remote Azure Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Azure Data Engineer jobs? Cities in Tennessee with the most Remote Azure Data Engineer job openings:
Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Tennessee as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, 2% Contract, and 2% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Reporting Engineer - Hybrid / Remote

Reporting Engineer - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 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.

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