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.
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
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