Principal Data Engineer at Hims & Hers
$220,000–$260,000
Jul 27, 2026
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Jul 28, 2026
What this job asks for AI summary
This is the most senior individual-contributor role on the Data Platform Engineering team at a public telehealth company, responsible for setting org-wide technical direction across ingestion, orchestration, event streaming, and platform infrastructure. The engineer will own high-stakes architectural decisions — including a CDC-based streaming platform (Kafka → Flink → BigQuery), a lower-environments strategy, and data quality/observability frameworks — while mentoring Staff and Senior engineers and partnering with ML, legal, and DevOps. The stack centers on GCP BigQuery, Airflow on Astronomer/EKS, dbt, Confluent Kafka, Databricks Delta Lake, and Terraform/OpenTofu.
Principal level · 15+ years · Remote · Full-time
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We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 50 people nationally plausibly meet what this posting asks for (database architects). range 15–110
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting does not specify a work location city; Hims & Hers is headquartered in San Francisco, CA, and the role is described as remote-friendly. CBSA is set to San Francisco-Oakland-Berkeley as the company's known HQ metro.
SOC classification is a genuine judgment call: the role is primarily data platform architecture (pipelines, warehouses, streaming infrastructure) which maps to 15-1243 Database Architects, but the hands-on coding expectations (Python, SQL, production pipeline code, Kafka producers/consumers in Go/Python) and software-engineering standards ownership also support 15-1252 Software Developers. 15-1243 was chosen as primary given the dominant focus on data platform design and governance.
Databricks, Delta Lake, and Unity Catalog appear under 'Preferred Qualifications' and are marked accordingly, even though Databricks also appears in the required stack narrative — the explicit preferred section governs the production-at-scale framing.
Flink and PySpark/SparkSQL appear only under Preferred Qualifications.
GCS and Dataflow are named in the required qualifications section as part of the GCP platform expertise requirement but are secondary to BigQuery; they are marked preferred to reflect their supporting role.
No compensation figures are stated in the posting.
HIPAA/GDPR compliance experience is a hard gate per the requirements section but names no specific tool — it is a regulatory/domain requirement rather than a named technology and is therefore not emitted as a skill per extraction rules.
Read the full posting
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