Senior Python Engineer Healthcare Technology (46678)

ADHEREHEALTH SOLUTIONS LLC•Nashville, TN

About The Position

We're seeking a Senior Python engineer to lead development of our modern data platform built on Snowflake and Dagster Cloud. This role is ideal for someone who wants to establish technical standards, write production-quality data pipelines, and build infrastructure that will serve our clinical operations for years to come. You'll work with Python, Dagster, and Snowflake daily, translating complex healthcare business logic into maintainable, well-tested code while navigating HITRUST compliance requirements. Our current environment is transitioning from SQL Server and SSIS orchestration to a modern Python-based stack. This is an excellent opportunity to build something from solid foundations while bringing best practices from the broader Python ecosystem to a healthcare technology company that values quality and execution.

Requirements

Experience in highly regulated industries (healthcare, financial services, pharmaceutical, or similar) working within compliance frameworks; healthcare strongly preferred
Demonstrated expertise in writing production-quality Python: clean code, comprehensive testing, proper error handling, logging, and monitoring
Strong experience with modern cloud data warehouse architectures and optimization techniques
Proven ability to work independently, manage ambiguity, and deliver results in environments where priorities shift rapidly
Comfort with version control (Git), CI/CD pipelines, and collaborative development practices
Strong written and oral communication skills including ability to communicate effectively with technical and non-technical stakeholders at all levels
Ability to translate business requirements into technical solutions and explain technical decisions to non-technical audiences
Strong time-management skills and ability to balance multiple concurrent priorities
Keen attention to detail and commitment to code quality, testing, and documentation
Ability to work independently with minimal supervision while knowing when to escalate or collaborate
Adaptability and resilience in fast-paced environments where context and priorities change frequently
Collaborative mindset with ability to give and receive constructive technical feedback
Problem-solving orientation with focus on pragmatic solutions that balance ideal and achievable

Nice To Haves

Healthcare industry experience, particularly in value-based care, pharmacy, clinical operations, or health plan analytics
Prior experience with Dagster or similar modern orchestration platforms (Airflow, Prefect, Temporal)
Familiarity with modern Python tooling ecosystem (uv, ruff, pytest, mypy, etc.)
Experience building data platforms in regulated environments with formal change control and validation requirements
Track record of mentoring engineers or leading technical standards adoption on small-to-medium teams
Understanding of data modeling concepts, dimensional modeling, and analytical database design patterns
Exposure to AI/ML pipeline requirements and infrastructure needs

Responsibilities

Design, implement, and maintain Python-based data pipelines in Dagster Cloud, migrating complex business logic from legacy TSQL stored procedures and SSIS packages
Establish and document Python development standards, testing practices, code quality patterns, and CI/CD workflows for the data engineering team
Provide technical guidance and mentorship to team members transitioning from SQL-based development to Python and modern data stack tools
Work with the VP of Data & Analytics to translate healthcare domain requirements into robust, maintainable code while operating within established business logic and architectural standards
Build and optimize data workflows on Snowflake with deep understanding of cloud data warehouse patterns, memory management, and the distinctions between OLTP and analytical workloads
Write clean, well-documented code that balances engineering excellence with delivery velocity in a fast-paced environment
Navigate HITRUST compliance requirements, including change control processes, validation protocols, and audit documentation
Participate in code reviews, contribute to technical decisions, and advocate for best practices while remaining collaborative when business context requires pragmatic tradeoffs
Support recurring production data processes while identifying opportunities for automation, optimization, and technical debt reduction
Stay current with Python ecosystem evolution (tooling, libraries, patterns) and recommend adoption of relevant advances
Participate in introducing agentic coding and AI-assisted SDLC tools (e.g. Cursor, Claude Code)