AI, Data & Automation Engineer

QualDerm Partners

. Design, build, and optimize scalable ELT/ETL pipelines in Snowflake .

Posted 10/10/2026full-timeBrentwood • Tennessee • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing ELT/ETL pipelines using Snowflake, advanced SQL, and Power BI for data modeling and analytics. Proficient in automation and data governance practices, with a focus on delivering actionable insights and maintaining data integrity.

Highest-signal resume keywords

Snowflake ELT/ETL Pipeline DevelopmentPower BI Data Modeling and Dashboard DesignAdvanced SQL ProficiencyData Governance and Security PracticesExperience with LLMs and Generative AI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLSnowflakePower BIDAXPythonData IntegrationData ModelingAutomation DevelopmentDbtRPA

Soft Skills

Cross-Functional CollaborationClear CommunicationStakeholder Management

Tools & Technologies

Power AutomateUiPathAutomation AnywhereAzure Data FactoryAzure FunctionsGitCI/CD

Certifications & Qualifications

Snowflake CertificationCloud/AI Certifications

Industry Keywords

Healthcare Industry ExperienceData QualityData GovernanceHIPAA ComplianceResponsible AI

Tech Stack

Tools & technologies

AzureCloudETLPythonRPASQL

About the role

Key responsibilities & impact

Design, build, and optimize scalable ELT/ETL pipelines in Snowflake
Ingest data from internal systems, third-party sources, and APIs while ensuring data quality, integrity, and performance
Develop and maintain dimensional and analytical data models using SQL, dbt, Snowpark, Streams/Tasks, and orchestration frameworks
Monitor pipeline health and manage Snowflake cost, performance, and access controls
Apply version control, testing, and CI/CD practices to data and automation assets
Build analytics solutions that answer business questions and drive operational efficiency
Develop, publish, and maintain Power BI reports, dashboards, and semantic models using DAX, Power Query, and row-level security
Support KPI and business metric development and ad hoc analysis projects
Design and deploy LLM-powered solutions for extraction, summarization, classification, intelligent search/RAG, and AI-assisted reporting
Develop prompts, evaluation methods, and guardrails for accurate, auditable, and appropriate AI outputs
Build and maintain RPA and workflow automations integrating with the data platform and business systems
Identify automation opportunities, document expected value, and measure results after deployment
Partner with cross-functional teams and stakeholders to gather requirements and deliver data, analytics, and automation solutions
Manage workstreams and cross-functional deliverables with internal and external partners
Support data governance, security, responsible AI, and protection of PHI/PII
Build stakeholder trust through documentation, validation, and clear communication
Stay current on data, AI, and automation technologies and comply with organizational policies

Requirements

What you’ll need

Bachelor's degree in a related field 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 integration, modeling, optimization, and data quality
Experience working in cross-functional teams and collaborating with business stakeholders
Healthcare industry experience
Preferred: experience with LLMs and generative AI, including prompt engineering, RAG, API integration, and evaluation
Preferred: experience with RPA and workflow automation tools such as Power Automate, UiPath, or Automation Anywhere
Preferred: familiarity with Azure Data Factory, Synapse, Azure Functions, dbt, or comparable tools
Preferred: experience with Git, CI/CD, and DevOps practices
Preferred: knowledge of data governance, security, privacy practices, and HIPAA
Preferred: Snowflake or cloud/AI certifications
Must be currently authorized to work in the United States on a full-time basis

Benefits

Comp & perks

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 6 paid holidays and 2 floating holidays each year
Company-Paid Life Insurance – Basic life coverage, with the option for additional plans
Disability Protection – Short-term and long-term disability coverage
Additional Wellness Plans – Accident, critical illness, and identity theft protection plans
Employee Assistance Program (EAP)
Exclusive Employee Discounts
Referral Bonus Program
Equal opportunity and inclusive work environment