Senior Data Engineer

Senior Data Engineer

This job is no longer open

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. We connect consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to sexual health, hair care, mental health, skincare, primary care, and more. 

With products and services available across all 50 states and Washington, D.C., Hims & Hers is on a mission to help the world feel great through the power of better health.  We believe how you feel in your body and mind transforms how you show up in life. That’s why we’re building a future where nothing stands in the way of harnessing this power. We normalize health & wellness challenges—and innovate on their solutions—to make feeling happy and healthy easy to achieve. No two people are the same, so we provide access to personalized care designed for results. At our core, our mission is deeply personal—because we too are customers. 

In January 2021, the company was listed on the NYSE and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit and

About the Role:

As a Senior Data Engineer, you will work with analytics engineers, product managers, engineers, security, DevOps, designers and others to build a data platform that backs the self-service analytics, machine learning models, and products serving 900,000+ Hims & Hers users.

You Will:

  • Architect and develop data pipelines to optimize for performance, quality, and scalability
  • Collaborate with analytics engineering data analysts, and business partners to build tools and data marts that enable self-service analytics
  • Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources 
  • Design, develop and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, Spark, and REST API endpoints to ingest data from a variety of external data sources to data lake
  • Develop testing frameworks and monitoring to improve data quality, observability, and data quality
  • Partner with the analytics engineers to ensure the performance and reliability of our data sources
  • Orchestrate sophisticated data flow patterns across a variety of disparate tooling
  • Partner with machine learning engineers to deploy predictive models
  • Partner with the security team to build frameworks and implement data compliance and security policies
  • Partner with DevOps to build IaC and CI/CD pipelines
  • Support code versioning and code deployments for data pipelines

You Have:

  • 5+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, and scripting languages
  • Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed
  • Demonstrated experience writing complex, highly-optimized SQL queries across large data sets
  • Experience with cloud technologies such as AWS or Google Cloud Platform
  • Experience with IaC technologies like Terraform
  • Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres
  • Experience with event streaming technologies like Kafka / Confluent
  • Experience with modern data stack (Airflow, Databricks, dbt, Fivetran, Tableau / Looker)
  • Experience with containers and container orchestration tools such as Docker or Kubernetes
  • Project management skills and a demonstrated ability to work autonomously
  • Understanding of SDLC and Agile frameworks

Nice to Have:

  • Experience with Machine Learning & MLOps
  • Experience building data models using dbt
  • Experience with Javascript 
  • Experience with CI/CD (Jenkins, GitHub Actions, Circle CI) 
  • Experience designing and developing systems with desired SLAs and data quality metrics
  • Experience with microservice architecture

Our Benefits (there are more but here are some highlights):

  • Employee Stock Purchase Program
  • An inclusive culture where we are always seeking improvement and cherish your input
  • Great compensation package with equity compensation
  • Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
  • Generous Parental Leave
  • High-coverage medical, dental & vision
  • Mental health & wellness benefits
  • Offsite team retreats
  • Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need
  • Employee discounts on hims & hers & Apostrophe online products, and Apple Store
  • $75 monthly connectivity stipend (phone/internet)
  • 401k Match

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.



This job is no longer open
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