Staff Data Engineer

About the role

Join the Data Platform Engineering team at Hims & Hers as a key technical leader. You will influence architectural choices, improve system reliability, and enhance the developer experience for a team of nine engineers building the core infrastructure that supports millions of users.

Key facts

What you'll do

• Lead complex, multi-sprint platform initiatives including Fivetran connector development, Databricks Lakehouse migration, event streaming infrastructure, and engineering standards adoption.
• Design, construct, and maintain production-ready data ingestion pipelines and platform infrastructure, serving as the foundation for Analytics Engineering, Data Science, and business teams.
• Build and operate event-driven and streaming data pipelines using Kafka, PySpark, and Databricks Structured Streaming, defining scaling, cost controls, and monitoring strategies.
• Manage data contracts, schema governance, and service level agreements for the ingestion and raw-to-cleansed data layers.
• Ensure data quality for developed pipelines through dbt tests, anomaly detection, schema validation, and data drift alerting.
• Maintain system reliability by defining key performance indicators and service level objectives, implementing monitoring as code, and participating in the on-call rotation.
• Oversee the integration and data activation layers, including Fivetran connectors and Hightouch reverse ETL connectors, from infrastructure provisioning to production monitoring.
• Support Analytics Engineers, Data Scientists, and ML engineers by building platform capabilities and pipelines that unblock their work.
• Identify and address systemic inefficiencies within the Data Platform Engineering team's pipelines and infrastructure.
• Mentor Senior Data Engineers through design and code reviews, fostering their growth into cross-squad responsibilities.
• Drive the adoption of engineering best practices, including testing, CI/CD, observability, and schema registry governance.

Requirements

• A minimum of 8 years of professional experience in designing, building, and operating data pipelines and platform infrastructure.
• Demonstrated experience with Change Data Capture (CDC) patterns for real-time data ingestion.
• Experience with Flink for stream processing.
• Proven ability to govern and administer dbt in production BigQuery or Databricks environments, including CI/CD, testing standards, documentation, and schema governance for ingestion-layer pipelines.
• Experience building and managing Airflow DAGs at scale, focusing on task orchestration, reliability, and scheduling.
• Experience building event streaming pipelines with Kafka or Confluent Kafka, including producer/consumer management, schema evolution, Schema Registry, and consumer lag monitoring.
• Proficiency in both GCP and AWS cloud environments, with daily use of BigQuery on GCP and Airflow on AWS EKS.
• Experience owning data quality for production pipelines, including dbt tests, anomaly detection, and alerting on schema changes and data drift.
• Experience with Fivetran or similar connector platforms, covering infrastructure as code provisioning, schema change management, and health monitoring.
• Experience with the Databricks platform, including Delta Lake, Databricks Workflows, and Unity Catalog.
• Familiarity with data compliance in regulated environments, such as HIPAA/PHI handling, access controls, and audit logging.
• Experience with infrastructure as code using Terraform or comparable tools.
• Strong proficiency in Python and SQL for writing and reviewing production-grade pipeline code.
• Excellent design skills, with the ability to translate ambiguous requirements into clear solutions and deliver them to production with minimal revisions.

Nice to have

• Experience with PySpark/SparkSQL for large-scale data processing.
• Experience with Hightouch or similar reverse ETL platforms.
• Familiarity with MLOps, supporting ML engineers with data pipelines for model training or feature stores.
• Familiarity with Looker LookML or equivalent BI serving layers.
• Go experience for Kafka service development.
• Experience in direct-to-consumer healthcare, telehealth, or similarly regulated industries.
• Familiarity with UK/GDPR data compliance requirements.

Skills & tools

• BigQuery
• dbt
• Airflow on Astronomer
• Confluent Kafka
• Databricks
• Fivetran
• Terraform/OpenTofu
• Python
• SQL
• GCP
• AWS
• Change Data Capture (CDC)
• Flink
• PySpark
• SparkSQL
• Hightouch
• MLOps
• Looker LookML
• Go

Practical notes

• This is a full-time, remote position based in the US.
• Hims & Hers offers competitive salary and equity, unlimited PTO, company holidays, quarterly mental health days, comprehensive health benefits, ESPP, and 401k with employer matching.
• The company is committed to building a diverse workforce and encourages applications from candidates who may not perfectly match every requirement.
• Hims & Hers complies with fair chance ordinances and laws in California, San Francisco, and Los Angeles.
• In Massachusetts, lie detector tests are unlawful as a condition of employment.
• Reasonable accommodations are available for qualified individuals with disabilities during the application process. Please contact accommodations@forhims.com for assistance.