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Senior Data Engineer

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design ingestion from transactional and event systems into an analytical platform. You will establish governance, lineage, access controls, reconciliation, and production-readiness practices while maintaining a strict boundary between analytical data and live transaction processing.

Requirements

  • Have 5–7 years of data engineering experience
  • Have hands-on pipeline design experience
  • Understand tradeoffs among AWS-native data tooling, Snowflake, and Databricks
  • Have experience with data governance, access control, audit logging, and data lineage
  • Understand analytical layers derived from transactional sources of truth
  • Have production experience with streaming or event-driven ingestion and transactional databases
  • Have strong written communication skills
  • Be able to independently own a domain in a developing function

Responsibilities

  • Design ingestion pipelines from PostgreSQL and Kafka or MSK into the analytical platform
  • Contribute technical input to analytical platform evaluation
  • Build data governance practices, including access controls, audit logging, and data lineage
  • Maintain the boundary between the analytical layer and the transactional source of truth
  • Define data quality and reconciliation practices
  • Write RFCs and design documents for ingestion and governance decisions
  • Define monitoring, alerting, and failure recovery for data pipelines
  • Mentor less-senior data engineers

Benefits

  • Bonus
  • Equity
  • Medical benefits
  • Vision benefits
  • Dental benefits
  • 401(k) matching program
  • Flexible vacation policy
  • Remote-first work environment