• Design, build, and maintain robust ETL/ELT processes to ingest, transform, and deliver data across a modern Data Lake architecture • Develop and optimize distributed data processing workflows using Python and PySpark to handle large-scale datasets efficiently • Implement and refine partitioning strategies for data lake storage frameworks (such as Delta Lake or Apache Iceberg) to balance query performance with storage costs • Write, optimize, and translate complex SQL queries involving CTEs, window functions, conditional expressions, and aggregations • Migrate and modernize data pipelines from legacy RDBMS platforms to cloud-native analytics environments • Leverage object-oriented programming principles to contribute to in-house libraries for code reusability and standardization • Work confidently with AWS-native services including Glue (Jobs, Catalog, Triggers, Workflows), Athena, Redshift, S3, Lambda, EventBridge, and related data services • Collaborate with infrastructure and DevOps teams to provision and manage data resources using Infrastructure as Code (IaC) tools such as CloudFormation, CDK, or Terraform • Monitor data pipeline health and performance using CloudWatch and other observability tools, proactively addressing issues and improving reliability • Ensure data integrity, consistency, and compliance across pipelines and storage layers • Implement metric tracking and observability frameworks to provide transparency into data workflows and SLAs • Support data catalog management and metadata governance practices • Partner with data analysts, scientists, and business stakeholders to understand requirements and translate them into scalable technical solutions • Contribute to technical documentation, code reviews, and knowledge sharing within the team • Stay current with emerging data engineering practices, tools, and cloud-native innovations

• Own the strategy and outcomes for a portfolio spanning shared frameworks, developer tooling, and partner delivery; define what good looks like for each Squad and hold that bar • Make the rest of Product & Engineering measurably faster: drive adoption of shared frameworks and services, retire duplicated effort across Pods, and prove the multiplier effect with data • Stand up our Solutions Engineering Squad: accelerate the roadmap commitments that win and retain key accounts by building the agency bench, owning contracting and statement-of-work oversight alongside our commercial teams, and running the handoff protocol that turns contracted work into owned, maintained product • Modernize our Product Development Lifecycle through Engineering: pursue step changes in how we deliver software, leading the shift from AI-assisted to agentic development on your own Squads first and as a model for the rest of engineering • Run a disciplined intake: this Pod exists to multiply the organization, and you will protect its charter rather than let it become a catch-all for unowned work • Hire, develop, and retain engineering managers and senior individual contributors; own performance, succession, and engagement across the Pod • Partner with the VP of Engineering and CTO on vision, with our Platform Engineering Pod on the seam between infrastructure and application frameworks, and with our Design System team on the front-end foundation • Own the Pod's budget across tooling and agency spend, and be accountable for the throughput it buys

• Teach core engineering design and CAD skills • Help clients strengthen problem solving, technical skills, and research and development abilities • Guide clients through certification requirements, project management, and applying emerging tools like AI fundamentals and AI automation • Offer resume review and interview prep, along with networking strategy, salary negotiation, and support for freelancing opportunities • Set your own hours and rates and host sessions virtually

Role Description We are hiring exceptional Senior Engineer to drive the development of Healthie’s New Products. In this senior technical role, you’ll lead the architecture and implementation of greenfield features, focusing on building scalable, reliable systems that solve meaningful problems for our customers and their clients. As a Senior Engineer, you’ll: - Collaborate across Product, Design, Data, and Engineering teams to identify and execute high-impact projects. - Work on system design, backend and frontend development, and integration with third-party services. - Incorporate advanced AI capabilities such as intelligent automation and data-driven insights to enhance user experiences. - Shape the technical direction of Healthie’s platform, mentor engineers, and drive innovation. - Balance strategic vision with hands-on execution to ensure scalability, reliability, and usability of our platform. - Translate complex challenges into elegant, impactful solutions. - Foster collaboration across teams to deliver features that empower healthcare providers and drive better patient outcomes. This is a full-time, remote position based in the United States. U.S. work authorization is required and Healthie does not provide sponsorship. Qualifications - 5-8+ years of experience in software engineering. - Experience specializing in AI/ML technologies, developing and deploying production-grade AI systems at scale. - Hands-on expertise in building machine learning models, natural language processing systems, and intelligent automation solutions. - Direct experience with our Tech Stack: Rails, React, Typescript, GraphQL, Postgres, Redis, Sidekiq, RSpec, and Capybara. - Strong background in software architecture, systems design, and scalable infrastructure. - Excellent collaboration skills, leading technical initiatives, and mentoring engineering teams. - Ability to thrive in fast-paced, dynamic environments. - Deep passion for healthcare technology and the potential of AI to transform the industry. - Embodiment of Healthie’s core values (Respect, Reliability, Resilience). - Relentless focus on delivering exceptional results and driving innovation. Requirements - Adept at translating complex AI concepts into practical applications. - Ability to simplify technical details for diverse stakeholders. - Alignment of AI initiatives with business goals. Interview Process - Quick Recruiter Interview (15 minutes) - Meet Chris, Hiring Manager (30 minutes) - Pair Coding Interview (two, 1 hour sessions) - Executive Interviews with: - Jonathan, VP, Engineering (30 minutes) - Cavan, CTO + cofounder (15 minutes) - Reference checks