
201 - 500 employees
Founded 2017
đĽ Healthcare
đź Consulting
đŁ Marketing
Healthcare ⢠Consulting ⢠Marketing
Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.
đ July 28
đşđ¸ United States â Remote
đľ $220k - $260k / year
â° Full Time
đ´ Lead
đ° Data Engineer
đť Ghost score 11%
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201 - 500 employees
Founded 2017
đĽ Healthcare
đź Consulting
đŁ Marketing
Healthcare ⢠Consulting ⢠Marketing
Hims & Hers is an online platform with over 1 million subscribers that connects patients to licensed healthcare professionals across all 50 states in the U. S. The service offers comprehensive support for sexual health, weight loss, hair regrowth, mental health, and skincare through a 100% online process. Clients can receive personalized treatment plans which may include prescription medications, and benefit from free and discreet shipping. Hims & Hers prides itself on providing accessible and affordable healthcare without the need for insurance, offering transparent pricing and support from licensed providers. It aims to empower individuals by making healthcare and treatment conveniently available on their own terms, including mental health support, which includes treatments for anxiety and depression.
⢠Set the multi-year platform architecture across ingestion, streaming, orchestration, transformation, and serving ⢠Decide what to build, buy, deprecate, and the sequencing of platform investments ⢠Determine whether streaming remains an analytics pipeline or extends to production and model evaluation paths ⢠Define interfaces, service boundaries, and data contracts between organizations ⢠Establish data quality, freshness guarantees, dataset tiering, and accountability models ⢠Set the platform economics framework for storage, compute, reservations, orchestration, and responsible consumption ⢠Define the self-service strategy and guardrails for Analytics Engineering and Data Science ⢠Establish standards for testing, CI/CD, observability, schema governance, and infrastructure as code ⢠Chair Architecture Review and act as decision-maker for cross-team, multi-system, and cost-impacting changes ⢠Partner on ML/Data Science readiness, HIPAA and PHI compliance with Legal and Security, and infrastructure hardening with DevOps ⢠Create ADRs, design documents, and RFCs as the written technical record ⢠Mentor Staff and Senior engineers through design review and hands-on pairing ⢠Write and review production code ⢠Participate in platform-level P1 incidents and drive systemic fixes
⢠12+ years building and owning data platform architecture ⢠Evidence of setting technical direction for organizations not managed directly and achieving adoption through credibility ⢠Experience defining the boundaries of architectural authority ⢠Deep GCP and BigQuery expertise ⢠Operational fluency in AWS, including EKS ⢠Experience with dbt, Airflow/Astronomer, Kafka/Confluent, Databricks/Spark, Fivetran, and reverse ETL or activation platforms such as Hightouch ⢠Production-scale event streaming experience, including Schema Registry, data contracts, consumer lag management, and delivery semantics ⢠Data governance and compliance experience in a regulated environment, including HIPAA, PHI handling, data classification, access controls, audit logging, and GDPR ⢠Terraform or equivalent ⢠Strong Python and SQL ⢠Strong technical writing, including design docs ⢠Preferred: Databricks, Unity Catalog, and Delta Lake at scale ⢠Preferred: CDC patterns and Flink for real-time processing ⢠Preferred: PySpark and SparkSQL ⢠Preferred: BigQuery-to-Databricks Lakehouse or equivalent warehouse migration leadership ⢠Preferred: MLOps partnership experience ⢠Preferred: Go or Python service development for Kafka producers and consumers ⢠Preferred: Direct-to-consumer healthcare or telehealth experience with HIPAA and GDPR obligations ⢠Preferred: SOX compliance controls in data engineering ⢠Legally authorized to work in the U.S. without restriction for any employer
⢠Equity compensation for full-time roles ⢠Unlimited PTO ⢠Company holidays ⢠Quarterly mental health days ⢠Comprehensive medical, dental, and vision benefits ⢠Parental leave ⢠Employee Stock Purchase Program (ESPP) ⢠401k benefits with employer matching contribution ⢠Offsite team retreats ⢠Talent-first flexible/remote work approach ⢠Reasonable accommodations for qualified individuals with disabilities and disabled veterans
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