Sr. Data Engineer

Key Skills

Apache Airflow, Apache Kafka, AWS, Continuous Integration & Continuous Delivery - CI/CD, Data Biuld Tool - dbt, Data Lake, Databricks, DevOps, Docker, Github, Google BigQuery, Google Cloud Platform (GCP), Jenkins, Kubernetes-K8s, Looker, Machine learning techniques, MLOps tools, Postgres, PySpark, Python Programming, REST API, SDLC, Snowflake, Spark-SQL, SQL, Tableau

Job Description

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

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 over a million Hims & Hers users.

You Will:

• 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 Pipelines

You Have:

• 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)
• Thorough understanding of SDLC and Agile frameworks
• Project management skills and a demonstrated ability to work autonomously

Nice to Have:

• 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

Outlined below is a reasonable estimate of H&H’s compensation range for this role. 

H&H also offers a comprehensive Total Rewards package that includes equity grants of restricted stock (RSU’s) so that H&H employees own a piece of our company.

The actual amount will take into account a range of factors that are considered in making compensation decisions including but not limited to, skill sets, experience and training, licensure and certifications, and location.

Consult with your Recruiter during any potential screening to determine a more targeted range based on the job-related factors. We don’t ever want the pay range to act as a deterrent from you applying!

An estimate of the current salary range for US-based employees is

$140,000—$170,000 USD

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.