AI, Data & Automation Engineer
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Before you apply
LocationBrentwood, Tennessee, United States
Typefull-time
SeniorityMid
Experience2–4 yrs
DepartmentAdministrative Support
Company size1,001–5,000 people
PostedOct 9, 2026 · 4w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in a related field (e.g., Computer Science, Information Systems, Data Science, Engineering, Analytics) or equivalent experience
2-4 years of experience as a data engineer, analytics engineer, data analyst, or automation developer
Hands-on experience with Snowflake, including advanced SQL and building and optimizing data pipelines and models
Hands-on experience with Power BI, including data modeling, DAX, and dashboard design
Experience with Python or another scripting language for data processing and automation
Experience in data management disciplines including data integration, modeling, optimization, and data quality
Experience working in cross-functional teams and collaborating with business stakeholders on data and analytics initiatives
Healthcare industry experience
Experience building solutions with LLMs and generative AI (prompt engineering, RAG, API integration, evaluation), e.g., Snowflake Cortex, Azure OpenAI, or similar
Experience with RPA and workflow automation tools (e.g., Power Automate, UiPath, Automation Anywhere)
Familiarity with the Azure ecosystem (Azure Data Factory, Synapse, Azure Functions) and with dbt or comparable transformation/orchestration tools
Experience with Git, CI/CD, and DevOps practices for data and automation
Knowledge of data governance, security, and privacy practices, including HIPAA
Snowflake, or cloud/AI certifications
Applicants must be currently authorized to work in the United States in a full-time basis
Skills
Snowflake
Power BI
Python
dbt
Snowpark
DAX
Power Query
LLM
RPA
Power Automate
UiPath
Git
CI/CD
Azure
Azure OpenAI
Azure Data Factory
Synapse
Azure Functions
Benefits
Competitive pay
Health insurance
Dental insurance
Vision insurance
401(k)
Paid time off
Life insurance
Disability insurance
Employee assistance program
Employee discounts
Referral bonus
COMPANY SUMMARY:
To achieve and maintain our high-quality standards, we seek to partner with physicians and staff who share our vision, values and brand promises and are dedicated to advancing our culture. QualDerm providers and staff are well-trained, highly skilled and recognized as leaders in the specialty of dermatology.
We currently have 158 practices in 17 states, spanning across the full spectrum of dermatology, skin cancer care, cosmetics, plastic surgery, and pathology with continued plans to expand further across the nation.
We will partner with you to establish the best combination of environment, technology, teamwork and personal reward opportunities to earn your confidence that we are your best place to work.
PURPOSE:
The AI, Data & Automation Engineer builds and evolves the organization’s modern data platform and the intelligent automations that run on top of it. This role combines data engineering (Snowflake pipelines and models), analytics and visualization (Power BI), and process automation (LLM-powered workflows, RPA, and low-code tools) to turn internal and external data into trusted KPIs, actionable insights, and measurable operational efficiency.
The position is responsible for both the technical foundation of the data platform and the delivery of analytics and automation solutions that business teams rely on every day.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Data Platform & Engineering
• Design, build, and optimize scalable ELT/ETL pipelines in Snowflake, ingesting data from diverse internal systems, third-party sources, and APIs while ensuring data quality, integrity, and performance.
• Develop and maintain dimensional and analytical data models, using tools such as SQL, dbt, Snowpark, Streams/Tasks, and orchestration frameworks.
• Monitor pipeline health and manage cost, performance tuning, and access controls (roles, warehouses, resource usage) within Snowflake.
• Apply version control, testing, and CI/CD practices to data and automation assets.
Analytics & Visualization
• Build analytics solutions that answer critical business questions, inform decisions, and drive operational efficiency.
• Develop, publish, and maintain Power BI reports, dashboards, and semantic models (DAX, Power Query, row-level security) that communicate insights clearly to audiences ranging from frontline teams to executives.
• Support development and tracking of KPIs and business metrics, and support ad hoc analysis projects as needed.
AI & Automation
• Design and deploy LLM-powered solutions such as document and text extraction, summarization, classification, intelligent search/RAG over enterprise data, and AI-assisted reporting, using Snowflake Cortex, Azure OpenAI, or comparable platforms.
• Develop prompts, evaluation methods, and guardrails to ensure AI outputs are accurate, auditable, and appropriate for business use.
• Build and maintain RPA and workflow automations (e.g., Power Automate, UiPath, or similar) that eliminate manual, repetitive processes and integrate with the data platform and business systems.
• Identify and prioritize opportunities to increase efficiency through automation; document expected value and measure results after deployment.
Collaboration & Governance
• Partner with cross-functional teams and business stakeholders to gather and refine requirements and translate them into data, analytics, and automation deliverables.
• Develop and foster relationships with internal and external partners to manage work-streams and cross-functional deliverables.
• Partner with senior leaders to support data governance, security, and responsible AI practices, including protection of sensitive data (e.g., PHI/PII) and compliance with applicable regulations.
• Build stakeholder trust in data accuracy and cleanliness through documentation, validation, and clear communication.
• Learn the business quickly and stay current on emerging data, AI, and automation technologies.
• Comply with organizational policies and procedures as outlined in the Teammate Handbook and Policy & Procedure Manuals.
Requirements
Required
• Bachelor’s degree in a related field (e.g., Computer Science, Information Systems, Data Science, Engineering, Analytics) or equivalent experience.
• 2-4 years of experience as a data engineer, analytics engineer, data analyst, or automation developer.
• Hands-on experience with Snowflake, including advanced SQL and building and optimizing data pipelines and models.
• Hands-on experience with Power BI, including data modeling, DAX, and dashboard design.
• Experience with Python or another scripting language for data processing and automation.
• Experience in data management disciplines including data integration, modeling, optimization, and data quality.
• Experience working in cross-functional teams and collaborating with business stakeholders on data and analytics initiatives.
• Healthcare industry experience.
Preferred
• Experience building solutions with LLMs and generative AI (prompt engineering, RAG, API integration, evaluation), e.g., Snowflake Cortex, Azure OpenAI, or similar.
Nice to have
• Experience with RPA and workflow automation tools (e.g., Power Automate, UiPath, Automation Anywhere).
• Familiarity with the Azure ecosystem (Azure Data Factory, Synapse, Azure Functions) and with dbt or comparable transformation/orchestration tools.
• Experience with Git, CI/CD, and DevOps practices for data and automation.
• Knowledge of data governance, security, and privacy practices, including HIPAA.
• Snowflake, or cloud/AI certifications.
Benefits
Benefits of joining Qualderm Partners:
•
Competitive Pay – Attractive compensation to reward your hard work
•
Comprehensive Health Coverage – Includes Medical, Dental, and Vision plans to keep you covered
•
Generous 401(k) Plan – Company matches 100% of the first 3%, plus 50% of the next 2%, with immediate vesting
•
Paid Time Off (PTO) – Accrue PTO from day one, plus enjoy 6 paid holidays and 2 floating holidays each year
•
Company-Paid Life Insurance – Peace of mind with basic life coverage, with the option for additional plans
•
Disability Protection – Short-term and long-term disability coverage to protect you in unexpected circumstances
•
Additional Wellness Plans – Accident, critical illness, and identity theft protection plans for extra security
•
Employee Assistance Program (EAP) – Access confidential support for personal or work-related challenges
•
Exclusive Employee Discounts – Save on products and services with special discounts just for you
•
Referral Bonus Program – Earn bonuses by referring qualified candidates to join the team
Legal
QualDerm Partners is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Applicants must be currently authorized to work in the United States in a full-time basis.