Staff Data Engineer: Platform & Streaming Architect

Socket.dev; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary and equity

Unlimited PTO

Comprehensive health benefits

ESPP

401k with matching

Offsite team retreats

Job summary

Hims & Hers is seeking a Staff Data Engineer to lead the Data Platform Engineering team. You will own end-to-end data delivery across multi-squad initiatives, drive architectural decisions, and improve reliability for pipelines powering patient care.

You will work hands-on with BigQuery, dbt, Airflow, Kafka, Databricks, and Terraform, mentoring engineers and setting standards across the platform. Remote-friendly, API-first collaboration awaits.

Qualifications

• 8+ years of professional experience designing, building, and operating data pipelines and platform infrastructure.
• Experience with CDC patterns for real-time ingestion.
• Experience governing and administering dbt in production BigQuery/Databricks environments.

Responsibilities

• Serve as DRI for high-complexity, multi-sprint platform initiatives including data ingestion and streaming pipelines.
• Architect, build, and maintain production-grade ingestion pipelines and platform infrastructure across source to Bronze/Silver layers.
• Design, implement, and operate event-driven and streaming data pipelines using Kafka, PySpark, and Databricks Structured Streaming.
• Own data contracts, schema governance, and SLAs for ingestion layers.
• Own data quality with tests, anomaly detection, and data drift alerts.
• Ensure system reliability with KPIs, SLOs, monitoring, and on-call duties.

Skills

Python

SQL

Data pipelines

Cross-team collaboration

Tools

dbt

BigQuery

Databricks

Airflow

Kafka

Terraform

Job description

Hims & Hers is seeking a Staff Data Engineer to lead the Data Platform Engineering team. You will own end-to-end data delivery across multi-squad initiatives, drive architectural decisions, and improve reliability for pipelines powering patient care.

You will work hands-on with BigQuery, dbt, Airflow, Kafka, Databricks, and Terraform, mentoring engineers and setting standards across the platform. Remote-friendly, API-first collaboration awaits.