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Senior Data Engineer

Doxy.me

Salary not specified
Aug 15, 2025
Charleston, SC, US
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To shape the way Doxy.me collects, processes, and leverages data across their product and business

Requirements

  • 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
  • Understanding of BI/visualization tools (Sigma, Looker, or similar)
  • Experience with monitoring and alerting tools (Datadog or equivalent) to ensure data reliability and system health

Responsibilities

  • Design, build, and maintain scalable, reliable data pipelines and transformation processes from product through to Snowflake
  • Collaborate with the Director of Strategy to improve product analytics, enabling deeper insights into product performance and user behavior
  • Partner with Product Engineering teams to educate, define, catalogue, and implement robust event-tracking standards and best practices
  • Ensure data integrity and accuracy throughout its lifecycle, minimizing tech sprawl and reducing complexity
  • Manage and optimize data flow using Segment, Hevo, and AWS-based systems; monitor and troubleshoot using observability tools like Datadog
  • Provide clean, dependable data feeds to the BI team, enabling rich dashboards and analytics in tools like Sigma

Other

  • Located in one of our east coast states (MA, NY, or SC)
  • Inquisitive and proactive—able to navigate ambiguity and find the right answers
  • Comfortable working independently and managing cross-team relationships
  • Strong communication skills, able to educate and influence both technical and non-technical stakeholders