Senior Platform Engineer, Data

🕒 March 11

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Charlie Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

⚕️ Healthcare Insurance

🧘 Wellness

💰 Seed Round on 2020-06

Healthcare Insurance • Wellness

Charlie Health is a provider of personalized intensive therapy and virtual Intensive Outpatient Programs (IOP) targeting mental health challenges. They cater to both teens and adults, offering a comprehensive treatment approach that includes therapies such as Cognitive Behavioral Therapy (CBT), Dialectical Behavior Therapy (DBT), and art and music therapy, among others. The company aims to provide immediate access and flexible scheduling to accommodate patients' needs, focusing on various conditions like anxiety, depression, self-harm, and substance use disorders. Charlie Health emphasizes measurable outcomes and connection with peers to foster long-term healing, with services available in as little as 24 hours.

📋 Description

• Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases. • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript. • Lead the definition, design, and phased migration to improved data models for core business concepts. • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source. • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems. • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value. • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes. • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data. • Maintain and improve our transactional database infrastructure running in AWS. • Review SQL and data access code for our production systems. • Partner with engineers across the organization to ensure database migrations are executed correctly and safely. • Profile, analyze, and tune slow or inefficient queries in Postgres. • Leverage AI-powered tooling to enhance the software development lifecycle. • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services. • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly. • We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are available during core meeting hours (12PM to 5PM EST).

🎯 Requirements

• 4+ years of experience in a role focused on Backend or Data Platform Engineering. • 3+ years of experience writing production-level SQL and backend code. • Recent expertise with Python as a primary programming language. • Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar). • Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch. • Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements. • Ability to troubleshoot complex distributed systems. • Familiarity with AI-enabled developer productivity tooling. • Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment. • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly. • Please note that team members who live within 45 minutes of a Charlie Health office are expected to follow a hybrid work schedule.

🏖️ Benefits

• comprehensive benefits to all full-time, exempt employees