[Hiring] Lead Analytics Engineer @Parachute Health

Role Description

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.

• 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

• 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).

Requirements

• 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.

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