doxy.me - telemedicine for all

Senior Data Engineer

doxy.me - telemedicine for all

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts, New York, South Carolina

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Job Level

Senior

Tech Stack

AWSETLJavaScriptPythonSQLTypeScript

About the role

  • Pipeline & Transformation: Design, build, and maintain scalable, reliable data pipelines and transformation processes from product through to Snowflake.
  • Product Analytics Enablement: Collaborate with the Director of Strategy to improve product analytics, enabling deeper insights into product performance and user behavior.
  • Data Capture Discipline: Partner with Product Engineering teams to educate, define, catalogue, and implement robust event-tracking standards and best practices.
  • Data Quality & Governance: Ensure data integrity and accuracy throughout its lifecycle, minimizing tech sprawl and reducing complexity to drive the smallest needed footprint to do what we need, without over-engineering things.
  • Tooling & Observability: Manage and optimize data flow using Segment, Hevo, and AWS-based systems; monitor and troubleshoot using observability tools like Datadog.
  • Empower BI & Insights: Provide clean, dependable data feeds to the BI team, enabling rich dashboards and analytics in tools like Sigma.
  • Educate & Advocate: Act as an internal champion for data principles, helping engineers understand good data modeling and event design.
  • Hands-On Implementation: Be comfortable working anywhere in the stack from directly in product code to add or modify event triggers, through to configuring transformations and rules in Segment, Hevo or equivalent platforms and Snowflake.

Requirements

  • 5+ years in data engineering roles, with hands-on experience in building pipelines, event-driven architectures, and ETL processes.
  • Strong proficiency with SQL and modern data warehousing platforms (Snowflake experience essential).
  • Experience with Segment, event-tracking systems, and behavioral analytics tooling.
  • Familiarity with AWS services (e.g., S3, Lambda, Kinesis) and data pipeline orchestration tools.
  • Comfortable working within application codebases (JavaScript/TypeScript, Python, or similar) to implement event triggers and data capture.
  • Analytics Enablement: Understanding of BI/visualization tools (Sigma, Looker, or similar).
  • Observability: Experience with monitoring and alerting tools (Datadog or equivalent) to ensure data reliability and system health.
  • Mindset & Soft Skills: Inquisitive and proactive—able to navigate ambiguity and find the right answers.
  • Comfortable working independently and managing cross-team relationships.
  • Passion for reducing complexity, driving standardization, and delivering clean data as a service.
  • Strong communication skills, able to educate and influence both technical and non-technical stakeholders.