Lead Analytics Engineer

Job not on LinkedIn

3 days ago

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $130k - $210k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Parachute Health

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SaaS • B2B • Compliance

Parachute Health is a healthcare technology company that provides a SaaS platform for digitizing and streamlining Durable Medical Equipment (DME) ordering and ePrescribing. Its platform connects clinicians, DME/HME suppliers, and payors to accelerate order entry, automate intake (including AI-based fax digitization), integrate with EHRs and ERPs, and improve order accuracy and compliance. Parachute emphasizes security and regulatory compliance (HIPAA, SOC 1/2, HITRUST) while serving B2B healthcare customers across the care continuum.

201 - 500 employees

Founded 2015

☁️ SaaS

🤝 B2B

📋 Compliance

📋 Description

• 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. • 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. • 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.

🎯 Requirements

• 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). • 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. • 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