Parachute Health
Nearly half of patients needing medical equipment at discharge don't get it in time. The ordering process is still primarily handled by fax, leading to higher cost of care and poorer patient outcomes. Parachute Health aims to make sure that every patient gets what they need, when they need it, by driving efficiency through digital connectivity in the ordering process and delivering a delightfully simple experience for clinicians. We are building a platform that is faster than the status quo and connects hospitals, payors, and suppliers of life-saving products to transform post-acute care.
We have built a strong network of clinicians, suppliers, health plans, and patients and are ready to amplify our story. This is where you come in.
Responsibilities
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 We are an equal opportunity employer and do not discriminate on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy-related conditions and lactation), gender identity or expression, sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable laws. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Hospitals and Health Care
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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 We are an equal opportunity employer and do not discriminate on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy-related conditions and lactation), gender identity or expression, sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable laws. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Hospitals and Health Care
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