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Data Analytics Engineer

SALT Dental Partners

Franklin · On-site Full-time Mid Level Today

About the role

Overview

Join SALT Dental Partners and be part of a dynamic team dedicated to revolutionizing the dental industry through innovative marketing strategies and exceptional patient experiences. Since our doors opened in 2019, our mission has been to help specialty dental providers grow their practices. SALT is creating a vast network of like‑minded dental specialists throughout the country. At SALT, we provide comprehensive support services, allowing dental specialists to focus on delivering exceptional care.

Position Summary

The Data Analytics Engineer is responsible for designing, building, and maintaining data pipelines, models, and analytics solutions that enable actionable insights across a multi‑site Dental Support Organization (DSO). This role ensures data integrity, scalability, and accessibility for reporting and advanced analytics, supporting operational, clinical, and financial decision‑making. Reporting to the Data & Analytics Manager, the Data Analytics Engineer will collaborate with IT, Operations, and Finance teams to deliver high‑quality data reports, products, and dashboards.

Responsibilities

Data Engineering & Integration

  • Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from PMS platforms (Denticon, Cloud 9, DSN Cloud) and ancillary systems.
  • Ensure data quality, consistency, and reliability across multiple sources (clinical, RCM, patient engagement, imaging).
  • Optimize data workflows for performance and scalability in cloud environments (Azure).

Data Modeling & Architecture

  • Design and implement data models for operational, financial, and clinical analytics.
  • Support the creation of semantic layers for BI tools (Power BI).
  • Maintain documentation for data structures, lineage, and governance.

Analytics & Reporting

  • Collaborate with analysts and business stakeholders to deliver dashboards and reports that drive decision‑making.
  • Implement KPIs and metrics for production, collections, AR, schedule utilization, and treatment acceptance.
  • Support ad‑hoc data requests and advanced analytics initiatives.

Data Governance & Compliance

  • Enforce data security and privacy standards in compliance with HIPAA and organizational policies.
  • Participate in periodic audits and ensure proper access controls for sensitive data.

Innovation & Continuous Improvement

  • Identify opportunities to automate data processes and improve efficiency.
  • Stay current on emerging technologies in data engineering and analytics.

Qualifications

  • 3+ years in data engineering or analytics roles, preferably in dental, healthcare, or multi‑site environments.
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field; equivalent experience considered.
  • Strong experience with SQL and relational databases; proficiency in ETL tools and scripting (Python, PowerShell).
  • Certifications: Microsoft Data Engineer, or similar preferred.
  • Experience with PMS platforms (Denticon, Cloud 9, DSN Cloud) and healthcare workflows preferred.
  • Familiarity with cloud data platforms (Azure Data Factory).
  • Experience with BI tools (Power BI, Tableau, Looker) and data visualization best practices.
  • Understanding of data governance, security, and compliance requirements (HIPAA).
  • Knowledge of APIs, integration frameworks, and data warehousing concepts.
  • Exposure to advanced analytics (predictive modeling, machine learning) is a plus.
  • Detail‑orientated and comfortable working in a fast‑paced office environment.
  • Excellent oral communication and strong interpersonal skills.
  • Desire and ability to learn new skills and be a team player.
  • Ability to act with integrity, professionalism, and confidentiality.

Physical Requirements

  • The following physical demands would apply to this job up to 40% of the time: Ability to lift, carry, or pull or push 25 lbs.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k with Company Match, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Training and Development opportunities

SALT Dental Partners offers a competitive salary and benefits package, including health insurance, retirement plan, and paid time off in order to attract, develop, and retain our employees.

Equal Opportunity Statement

SALT Dental Partners offers equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity, and gender expression, or any other legally protected status.

Application Information

Recruiting firms may not submit candidate resumes via e‑mail. Recruiters are directed to contact one of our Talent Acquisition representatives regarding current vacancies.

For more information on our career opportunities and benefits, please connect with us at recruiting@saltdentalpartners.com.

Requirements

  • 3+ years in data engineering or analytics roles, preferably in dental, healthcare, or multi-site environments
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field; equivalent experience considered
  • Strong experience with SQL and relational databases; proficiency in ETL tools and scripting (Python, PowerShell)
  • Familiarity with cloud data platforms (Azure Data Factory)
  • Experience with BI tools (Power BI, Tableau, Looker) and data visualization best practices
  • Understanding of data governance, security, and compliance requirements (HIPAA)
  • Knowledge of APIs, integration frameworks, and data warehousing concepts
  • Detail orientated and comfortable working a fast-paced office environment
  • Excellent oral communication and strong interpersonal skills
  • Desire and ability to learn new skills and be a team player
  • Ability to act with integrity, professionalism, and confidentiality
  • The following physical demands would apply to this job up to 40% of the time: Ability to lift, carry, or pull or push 25lbs

Responsibilities

  • The Data Analytics Engineer is responsible for designing, building, and maintaining data pipelines, models, and analytics solutions that enable actionable insights across a multi-site Dental Support Organization (DSO)
  • This role ensures data integrity, scalability, and accessibility for reporting and advanced analytics, supporting operational, clinical, and financial decision-making
  • Reporting to the Data & Analytics Manager, the Data Analytics Engineer will collaborate with IT, Operations, and Finance teams to deliver high-quality data reports, products, and dashboards
  • Data Engineering & Integration
  • Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from PMS platforms (Denticon, Cloud 9, DSN Cloud) and ancillary systems
  • Ensure data quality, consistency, and reliability across multiple sources (clinical, RCM, patient engagement, imaging)
  • Optimize data workflows for performance and scalability in cloud environments (Azure)
  • Data Modeling & Architecture
  • Design and implement data models for operational, financial, and clinical analytics
  • Support the creation of semantic layers for BI tools (Power BI)
  • Maintain documentation for data structures, lineage, and governance
  • Analytics & Reporting
  • Collaborate with analysts and business stakeholders to deliver dashboards and reports that drive decision-making
  • Implement KPIs and metrics for production, collections, AR, schedule utilization, and treatment acceptance
  • Support ad-hoc data requests and advanced analytics initiatives
  • Data Governance & Compliance
  • Enforce data security and privacy standards in compliance with HIPAA and organizational policies
  • Participate in periodic audits and ensure proper access controls for sensitive data
  • Innovation & Continuous Improvement
  • Identify opportunities to automate data processes and improve efficiency
  • Stay current on emerging technologies in data engineering and analytics

Benefits

health_insurancedental_coveragepaid_time_off

Skills

Azure Data FactoryHIPAALookerPower BIPowerShellPythonSQLTableau

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