Parachute Health

Develop software in an agile environment, contributing to application design and maintaining stable application stacks. Participate in an on-call rotation to resolve critical system issues and improve system reliability. | Candidates must have professional Ruby on Rails experience and a minimum of 2 years in a web-based production environment. Familiarity with multiple programming languages and AWS services is a plus. | Parachute Health is transforming post-acute care through the leading digital ordering platform for medical equipment and supplies. We replace the outdated, error-prone paper and fax process, which negatively impacts over 30 million patients annually, with a system that’s 10 times faster. Our platform connects a vast network of Home Medical Equipment (HME) providers, clinicians, and payors across all 50 states, ensuring millions of patients get the life-saving products they need quickly and efficiently. Join our team and make a difference in patient care. Responsibilities: Develop in an agile environment, including TDD and flexible pair programming. Contribute to balanced teams, working with product and design to shape the application. Direct key technical decisions related to application and data model design. Maintain stable and performant application stacks. Consistently deliver quality code that supports business goals. Understanding of data structures, TDD, and software engineering design patterns and principles. Participate in an on-call rotation, ensuring timely resolution of critical system issues, and contributing to the continuous improvement of our system reliability and availability Requirements: Professional Ruby on Rails experience Minimum of 2 years working in a web-based production environment Must reside in the U.S. Nice to have: Delight in learning. Proficient in multiple other languages (javascript, python, SQL, etc). Familiar with AWS services (EC2, ECS, S3, RDS, etc). Exposure to healthcare technologies. Experience as technical lead on projects working with UX/UI design and/or product management. Front end expertise in a modern javascript framework (React, Angular, Ember, etc). Benefits Medical, Dental, and Vision Coverage 401(k) Retirement Plan Equity Incentive Plan Remote-First Company with the option to work from our New York City office Annual Company Wide Bonus (up to 15%) Flexible Vacation Policy Summer Fridays - 5 Fridays Off During Summer (Separate From PTO) Monthly Internet Stipend Annual Home Office Stipend Co-Working Space Reimbursement Annual stipend for education and development Base Salary Bands: Software Engineer: $125-170K California job applicants may access the Notice of Collection of Personal Information and Privacy Policy with information and rights required by the California Privacy Rights Act (CPRA) the link here. We are proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. This role is not eligible for employer visa sponsorship. Applicants must be legally authorized to work in the United States at the time of application and for the duration of employment. The Company does not sponsor employment authorization for this position, nor will it provide assistance in obtaining temporary work authorization

The Lead Analytics Engineer drives scalable data solutions, enabling actionable insights and strategic business decisions across the company. This role combines deep technical expertise with leadership responsibilities by leading high-impact initiatives, mentoring the analytics team, and shaping data strategy. | Candidates should have a bachelor's degree in a related field and at least 7 years of experience in data engineering or analytics engineering. Leadership experience and familiarity with cloud-native environments are also required. | Nearly half of patients needing medical equipment at discharge don’t get it in time. The ordering process is too convoluted and is still primarily handled by fax. These inefficiencies lead to higher cost of care and poorer patient outcomes. In the most extreme cases, this equipment means life or death. At Parachute Health, it is our mission to make sure that every patient gets what they need, when they need it. We achieve this by driving efficiency through digital connectivity into every aspect of the ordering process, making it delightfully simple. We’re leading the charge with a platform that is 10 times faster than the status quo. We connect with major hospitals, payors, and suppliers of life-saving products. Our vision of a “delightfully simple” digital ordering experience for clinicians pushes us forward to transforming the world of post-acute care. We’ve built a strong network of clinicians, suppliers, health plans, and patients that we serve every day—but we’re ready to amplify our story in a bigger, more systematic way. That’s where you come in. The Lead Analytics Engineer drives scalable data solutions, enabling actionable insights and strategic business decisions across the company. This role combines deep technical expertise with leadership responsibilities by leading high-impact initiatives, mentoring the analytics team, and shaping data strategy. Responsibilities: Technical Leadership Design, optimize, and scale end-to-end data pipelines and cloud-based infrastructure for analytics, reporting, and machine learning. Own data integration, transformation, and modeling processes, ensuring accuracy, accessibility, and analytical readiness. Lead implementation of dbt, Looker, and other modern analytics tools to deliver scalable, maintainable solutions. Define and enforce standards for data modeling, data governance, lineage, monitoring, and compliance. Evaluate emerging technologies and drive architecture decisions to future-proof the platform. Project & Team Leadership Lead complex initiatives spanning multiple teams and business domains. Set project direction, ensure timely delivery, and maintain high-quality standards. Translate business requirements into robust technical solutions. Mentor data analysts and analytics engineers on technical challenges, best practices, and career growth. Strategic Contribution Collaborate with leadership to ensure the data platform aligns with business objectives. Identify opportunities to improve efficiency, scalability, and business impact through data. Facilitate alignment across technical and non-technical stakeholders, promoting a culture of data-driven decision-making. Foster knowledge sharing, continuous feedback, and cross-team collaboration. Qualifications: Experience & Education Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience. 7+ years in data engineering or analytics engineering delivering scalable, high-impact solutions. 1+ years in senior-level roles with leadership and cross-team responsibilities. Experience in cloud-native environments (BigQuery, Snowflake, Redshift, or similar). Technical Skills Expert in SQL, Python, and modern analytics tools (dbt, Fivetran, Airflow, or equivalents). Strong experience in data modeling, ELT/ETL pipelines, and cloud data warehouses. Advanced proficiency with Looker or similar BI tools (LookML, dashboards, visualization). Knowledge of data governance, quality frameworks, and testing methodologies. Familiarity with machine learning pipelines, predictive modeling, or AutoML is a plus. Leadership & Soft Skills Proven ability to lead technical initiatives and mentor team members. Strong problem-solving skills, designing scalable, maintainable architectures. Excellent communication with technical and non-technical audiences. Comfortable navigating ambiguity and driving decisions in fast-paced environments. Experience in influencing senior stakeholders without direct authority. Benefits: Medical, Dental, and Vision Coverage 401(k) Retirement Plan Remote-First Company with the option to work at our New York City office Equity Incentive Plan Annual Company-Wide Bonus (up to 15%) Flexible Vacation Policy Summer Fridays - 5 Fridays Off During Summer (Separate From PTO) Monthly Internet Stipend Annual Home Office Stipend Co-Working Space Reimbursement Annual stipend for education and development Base Salary Bands (based on experience and level) Analytics Engineer III: $130,000 - $180,000 Analytics Engineer IV: $170,000 - $210,000 California job applicants may access the Notice of Collection of Personal Information and Privacy Policy with information and rights required by the California Privacy Rights Act (CPRA) the link here. We are proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

The Data Analyst II conducts medium- to high-complexity analyses and delivers actionable insights to stakeholders. This role involves managing individual analytical projects and collaborating with cross-functional teams to solve business problems. | Candidates should have a bachelor's degree in a related field and at least 3 years of professional experience in data analysis or business intelligence. Strong proficiency in SQL and experience with BI tools are essential, along with a collaborative mindset and problem-solving abilities. | Nearly half of patients needing medical equipment at discharge don’t get it in time. The ordering process is too convoluted and is still primarily handled by fax. These inefficiencies lead to higher cost of care and poorer patient outcomes. In the most extreme cases, this equipment means life or death. At Parachute Health, it is our mission to make sure that every patient gets what they need, when they need it. We achieve this by driving efficiency through digital connectivity into every aspect of the ordering process, making it delightfully simple. We’re leading the charge with a platform that is 10 times faster than the status quo. We connect with major hospitals, payors, and suppliers of life-saving products. Our vision of a “delightfully simple” digital ordering experience for clinicians pushes us forward to transforming the world of post-acute care. We’ve built a strong network of clinicians, suppliers, health plans, and patients that we serve every day—but we’re ready to amplify our story in a bigger, more systematic way. That’s where you come in. The Data Analyst II contributes meaningfully to data-driven decision-making by delivering analyses and insights that inform business and product decisions. This role combines growing analytical capabilities with increasing autonomy, managing projects independently while collaborating across teams to solve business problems. Responsibilities: Analysis & Insights Conduct medium- to high-complexity analyses with minimal guidance, delivering actionable insights to stakeholders. Own individual analytical projects from scoping through delivery, managing timelines and expectations. Build and maintain dashboards and reports that enable teams to track key metrics and make informed decisions. Contribute to the development of analytical frameworks and metrics definitions. Translate business questions into structured analytical approaches and clearly communicate findings. Collaboration & Growth Partner with cross-functional teams including product, operations, and business stakeholders to understand needs and deliver insights. Communicate analysis results clearly to both technical and non-technical audiences. Actively participate in team discussions, bringing forward multiple approaches to problems and weighing tradeoffs. Apply feedback to continuously improve analytical work and articulate areas for personal growth. Begin mentoring junior analysts on specific tasks, tools, and analytical techniques. Quality & Standards Follow and actively reinforce team standards for analysis, documentation, and data quality. Identify and raise friction points in processes or data, suggesting simple improvements. Show resilience by adjusting approach when analyses don't go as planned. Contribute to team knowledge sharing by documenting learnings and best practices. Qualifications: Experience & Education Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience. 3+ years of professional experience in data analysis, business intelligence, or related analytical roles. Demonstrated track record of increased responsibilities and impact in analytical work. Technical Skills Strong proficiency in SQL for data extraction and analysis. Experience with Looker or similar BI tools for dashboard development and data visualization. Working knowledge of Python or similar tools for data analysis and automation. Understanding of statistical concepts and their application to business problems. Familiarity with data modeling concepts and modern data warehouses (BigQuery, Snowflake, Redshift, or similar). Analytical & Soft Skills Strong problem-solving abilities with attention to detail and analytical rigor. Ability to manage multiple projects with growing autonomy and prioritize effectively. Clear communication skills, translating data findings into business insights. Curiosity and willingness to learn new tools, techniques, and business domains. Collaborative mindset with openness to feedback and coaching. Benefits: Medical, Dental, and Vision Coverage 401(k) Retirement Plan Remote-First Company with the option to work at our New York City office Equity Incentive Plan Annual Company-Wide Bonus (up to 15%) Flexible Vacation Policy Summer Fridays - 5 Fridays Off During Summer (Separate From PTO) Monthly Internet Stipend Annual Home Office Stipend Co-Working Space Reimbursement Annual stipend for education and development Base Salary Bands (based on experience and level) Data Analyst II: $90,000 - $130,000 California job applicants may access the Notice of Collection of Personal Information and Privacy Policy with information and rights required by the California Privacy Rights Act (CPRA) the link here. We are proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Lead complex analytical projects, mentor analytics team, and partner with stakeholders to drive data-driven business strategy. | 7+ years in data analysis with 1+ year in senior leadership roles, expertise in SQL, Python, BI tools, statistical methods, and strong communication and leadership skills. | Nearly half of patients needing medical equipment at discharge don’t get it in time. The ordering process is too convoluted and is still primarily handled by fax. These inefficiencies lead to higher cost of care and poorer patient outcomes. In the most extreme cases, this equipment means life or death. At Parachute Health, it is our mission to make sure that every patient gets what they need, when they need it. We achieve this by driving efficiency through digital connectivity into every aspect of the ordering process, making it delightfully simple. We’re leading the charge with a platform that is 10 times faster than the status quo. We connect with major hospitals, payors, and suppliers of life-saving products. Our vision of a “delightfully simple” digital ordering experience for clinicians pushes us forward to transforming the world of post-acute care. We’ve built a strong network of clinicians, suppliers, health plans, and patients that we serve every day—but we’re ready to amplify our story in a bigger, more systematic way. That’s where you come in. The Lead Data Analyst drives data-driven decision-making across the organization by delivering actionable insights that shape business strategy. This role combines deep analytical expertise with leadership responsibilities by leading high-impact analyses, mentoring the analytics team, and partnering with stakeholders to solve complex business problems. Responsibilities Analytical Leadership Lead complex, cross-functional analyses that directly inform strategic business decisions and product direction. Own end-to-end analytical projects from problem definition through insight delivery and impact measurement. Design and implement analytical frameworks, metrics, and dashboards that enable self-service insights across the organization. Define and enforce standards for analytical rigor, documentation, and best practices. Translate ambiguous business questions into structured analytical approaches with clear methodologies. Project & Team Leadership Lead high-complexity initiatives spanning multiple teams and business domains. Set project direction, ensure timely delivery, and maintain high-quality analytical standards. Translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences. Mentor data analysts on analytical techniques, business acumen, and career growth. Strategic Contribution Partner with leadership to identify opportunities where data can drive efficiency, growth, and business impact. Facilitate alignment across stakeholders by integrating analytical insights with business context. Champion a culture of experimentation, measurement, and data-driven decision-making. Foster knowledge sharing, continuous feedback, and cross-team collaboration. Qualifications Experience & Education Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience. 7+ years in data analysis, business intelligence, or related analytical roles delivering high-impact insights. 1+ years in senior-level roles with leadership and cross-functional responsibilities. Experience working with modern data stacks and cloud data warehouses (BigQuery, Snowflake, Redshift, or similar). Technical Skills Expert in SQL and data analysis with strong proficiency in Python for statistical analysis. Advanced experience with Looker or similar BI tools (LookML, dashboard development, visualization best practices). Knowledge of statistical methods, A/B testing, experimentation design, and causal inference. Experience with data modeling concepts and collaborating with analytics engineers on data infrastructure. Familiarity with predictive modeling, machine learning concepts, or advanced analytics is a plus. Leadership & Soft Skills Proven ability to lead analytical initiatives and mentor team members. Strong problem-solving skills with ability to structure ambiguous problems and design analytical approaches. Exceptional communication skills translating complex analyses into compelling narratives for diverse audiences. Comfortable navigating ambiguity and driving decisions in fast-paced environments. Experience influencing senior stakeholders and driving business strategy through data insights. Benefits Medical, Dental, and Vision Coverage 401(k) Retirement Plan Remote-First Company with the option to work at our New York City office Equity Incentive Plan Annual Company-Wide Bonus (up to 15%) Flexible Vacation Policy Summer Fridays - 5 Fridays Off During Summer (Separate From PTO) Monthly Internet Stipend Annual Home Office Stipend Co-Working Space Reimbursement Annual stipend for education and development Base Salary Bands (based on experience and level) Data Analyst III: $120,000 - $170,000 Data Analyst IV: $160,000 - $200,000 California job applicants may access the Notice of Collection of Personal Information and Privacy Policy with information and rights required by the California Privacy Rights Act (CPRA) the link here. We are proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.