Senior Data Engineer, Hims & Hers
$160-180k
+ Equity
Multi-specialty telehealth platform
Job no longer available
Multi-specialty telehealth platform
1001+ employees
Job no longer available
$160-180k
+ Equity
1001+ employees
Company mission
To help the world feel great through the power of better health.
Role
Who you are
- 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, 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 and/or Google Cloud Platform
- Experience with Databricks platform
- Experience with IaC technologies like Terraform
- Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres
- Experience building event streaming pipelines using Kafka/Confluent Kafka
- Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker
- Experience with containers and container orchestration tools such as Docker or Kubernetes
- Experience with Machine Learning & MLOps
- Experience with CI/CD (Jenkins, GitHub Actions, Circle CI
Desirable
- Experience building data models using dbt
- Experience with Javascript and event tracking tools like GTM
- Experience designing and developing systems with desired SLAs and data quality metrics
- Experience with microservice architecture
- Experience architecting an enterprise-grade data platform
What the job involves
- We're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims
- As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving Million+ Hims & Hers subscribers
- Architect and develop data pipelines to optimize performance, quality, and scalability
- Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources
- Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake
- Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance
- Orchestrate sophisticated data flow patterns across a variety of disparate tooling
- Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics
- Partner with the rest of the Data Platform team to set best practices and ensure the execution of them
- Partner with the analytics engineers to ensure the performance and reliability of our data sources
- Partner with machine learning engineers to deploy predictive models
- Partner with the legal and security teams 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 Pipeline
Our take
Hims & Hers is a direct-to-consumer brand made for men and women, offering products for skin care, birth control, erectile dysfunction, hair loss and more. The company aims to create an open and honest culture of care that is accessible for everyone, no matter who you are or where you live.
Hims & Hers approach healthcare differently through a telemedicine approach combined with a comprehensive wholesale and branding strategy. This allows customers to get diagnosed and treated at a lower cost and with greater convenience whilst the company simultaneously increases customer brand's presence across the US.
The company is increasingly focused on becoming a modern healthcare brand, and has a huge addressable market to go after. The recent launch of an app has helped it grow significantly too. Further, its focusing investment into platform infrastructure and the development of partnerships with physical stores including retail giant Walmart, as well as continuing to launch new products such as its range of volumizing shampoos. Altogether, these moves put the brand in a good position for long-term growth as it looks to scale and evolve even further.
Steph
Company Specialist at Welcome to the Jungle
Insights
38% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2019
$100m
LATE VC
Jul 2018
$50m
SERIES B
Total funding: $197m
Company benefits
- Full healthcare: High-coverage medical, dental & vision coverage for individuals and families
- Generous PTO: Take the time you need, when you need it - including generous parental leave
- Retirement planning: Take advantage of our 401(k) plan including contribution matching
- Work from anywhere: We are a remote-first company, so you can work from anywhere you like in the uS
- Robust compensation: We offer competitive salary bands and stock options
- Employee discount: Employees can take advantage of product discounts
- Utility stipend: A extra $75 each month to cover extra cell phone, internet, or data usage
- Spending accounts: Options for additional HSA and FSA plans to help toward healthcare costs
Company HQ
Marina District, San Francisco, CA
Leadership
Andrew Dudum
(Founder & CEO)Previously co-founder of Atomic, Homebound, Terminal and Bungalow and Investor & Advisor at Stable Auto, TalklQ, and Mira Technologies.
Hilary Coles
(Co-Founder & Senior VP Brand & Innovation)Previously earned an MBA from the Kellogg School of Management at Northwestern University.
Jack Abraham
(Co-FOunder & Investor)Founder and Managing Partner of Atomic. Co-Founder and Investor at Replicant, Raydiant, Bungalow, Homebound, Terminal and Zenreach.
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