[Hiring] Senior Data Engineer @Plume

Role Description

The Senior Data and AI Engineer is a high-impact individual contributor on the Data and AI team. This role will be tasked with building, maintaining, and optimizing the data pipelines, transformation models, and BI deliverables. Applied AI (RAG pipelines, MLOps) is a growing area of the role, not the primary focus today.

The right person for the role will be a skilled, self-sufficient engineer who takes well-defined architectural direction and executes it with precision, quality, and ownership. They will also contribute their own technical judgment to day-to-day implementation decisions.

They are deeply hands-on:

• Writing production dbt models
• Building Airflow DAGs
• Delivering clinical dashboards
• Contributing to RAG pipelines and MLOps workflows within a regulated healthcare environment

You will also work closely with offshore contractors, reviewing their work, providing feedback, and ensuring output meets the team's quality and engineering standards.

The ideal candidate will have a strong command of cloud data warehousing, dimensional modeling, Python, and applied AI tooling, as well as a collaborative mindset that thrives in a team-oriented environment. This role is an excellent opportunity for a senior engineer looking to deepen their full-stack data and AI expertise alongside experienced technical leadership.

Qualifications

• 5+ years of hands-on experience in data engineering, analytics engineering, or a closely related role
• 2+ years of experience working within the healthcare industry
• Working knowledge of HIPAA
• Proven production experience with at least one major cloud data warehouse
• Strong hands-on experience with dbt
• Deep experience with Apache Airflow
• Demonstrated knowledge of dimensional data modeling
• Hands-on experience delivering dashboards and reports in at least one enterprise BI tool
• Proficiency in Python for data pipeline development
• Practical exposure to RAG pipeline development and LLM integration
• Hands-on exposure to MLOps concepts
• Knowledge of CI/CD tooling for data and AI workloads
• Strong understanding of data quality and governance principles
• Excellent written and verbal communication skills
• Ability to work independently on assigned workstreams

Requirements

• Building and maintaining production-grade data pipelines in cloud data warehouses
• Designing and developing dbt models across bronze, silver, and gold layers
• Creating and optimizing Airflow DAGs for data workflow orchestration
• Implementing dimensional data models and data mart structures
• Crafting easy-to-understand visualizations and dashboards
• Integrating healthcare data from various sources
• Applying HIPAA-compliant data handling practices
• Architecting and implementing RAG pipelines
• Supporting MLOps workflows
• Code reviewing PRs from teammates
• Collaborating closely with product managers
• Monitoring and triaging assigned pipeline and data quality failures
• Documenting pipeline designs, data models, and technical decisions
• Evaluating new tools and frameworks

Benefits

• Ground-Floor Equity (Series B)
• Free Medical, Dental, and Vision on the first of the month after you start full-time work
• Unlimited PTO
• 11 paid holidays and company shut-down for a week in December
• 401(k)
• Free Plume and BetterHelp Subscriptions