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Staff Data Engineer

Hims & HersTelemedicine company
RemoteLead
Thrive Capital logo
Thrive Capital
Forerunner Ventures logo
Forerunner Ventures
8VC logo
8VC
Data & AI

About the role

TL;DR

Staff Data Engineer to drive critical platform initiatives and enhance data infrastructure.

  • Hims & Hers is seeking a Staff Data Engineer to be a key technical driver for critical platform initiatives.
  • This role involves driving shared architectural decisions, enhancing cross-team reliability, and improving the developer experience for the Data Platform Engineering team.
  • Key Responsibilities Serve as DRI for high-complexity, multi-sprint platform initiatives.
  • Architect, build, and maintain production-grade ingestion pipelines and platform infrastructure.
  • Design, implement, and operate event-driven and streaming data pipelines using Kafka, PySpark, and Databricks Structured Streaming.
  • Own data quality for pipelines, including dbt tests, anomaly detection, and schema validation.
  • Own the reliability of systems, including establishing KPIs and SLOs, and participating in the on-call rotation.
  • Requirements 8+ years of professional experience designing, building, and operating data pipelines and platform infrastructure.
  • Experience with CDC (Change Data Capture) patterns for real-time ingestion.
  • Experience with Flink for stream processing.
  • Experience governing and administering dbt in a production BigQuery or Databricks environment.
  • Experience building and operating Airflow DAGs at scale.
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Required skills

PythonSQLBigQuerydbtAirflowDatabricksFivetranTerraformSparkGoogle CloudAWS

Domain expertise

healthtech

Benefits & perks

Competitive salary & equity compensation, Unlimited PTO, Company holidays, Quarterly mental health days, Comprehensive health benefits, Medical, Dental, Vision, Parental leave, Employee Stock Purchase Program (ESPP), 401k benefits with employer matching contribution, Offsite team retreats

Tech stack

BigQuerydbtAirflowDatabricksFivetranTerraformSparkGoogle CloudAWSPythonSQL

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