\nWe'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.\nYou Will:\n\n\n* Architect and develop data pipelines to optimize performance, quality, and scalability\n\n* Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources\n\n* 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\n\n* Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance\n\n* Orchestrate sophisticated data flow patterns across a variety of disparate tooling\n\n* Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics\n\n* Partner with the rest of the Data Platform team to set best practices and ensure the execution of them\n\n* Partner with the analytics engineers to ensure the performance and reliability of our data sources\n\n* Partner with machine learning engineers to deploy predictive models\n\n* Partner with the legal and security teams to build frameworks and implement data compliance and security policies\n\n* Partner with DevOps to build IaC and CI/CD pipelines\n\n* Support code versioning and code deployments for data Pipelines\n\n\n\nYou Have:\n\n\n* 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages\n\n* Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed\n\n* Demonstrated experience writing complex, highly optimized SQL queries across large data sets\n\n* Experience with cloud technologies such as AWS and/or Google Cloud Platform\n\n* Experience with Databricks platform\n\n* Experience with IaC technologies like Terraform\n\n* Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres\n\n* Experience building event streaming pipelines using Kafka/Confluent Kafka\n\n* Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker\n\n* Experience with containers and container orchestration tools such as Docker or Kubernetes\n\n* Experience with Machine Learning & MLOps\n\n* Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)\n\n* Thorough understanding of SDLC and Agile frameworks\n\n* Project management skills and a demonstrated ability to work autonomously\n\n\n\nNice to Have:\n\n\n* Experience building data models using dbt\n\n* Experience with Javascript and event tracking tools like GTM\n\n* Experience designing and developing systems with desired SLAs and data quality metrics\n\n* Experience with microservice architecture\n\n* Experience architecting an enterprise-grade data platform\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Testing, DevOps, JavaScript, Cloud, API, Senior, Legal and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

Stacktical is a Predictive Scalability Testing platform.\nIt ensures our customers design and ship softwares that always scale to the maximum of their ability and with minimum footprint.\nThe Stacktical Site Reliability Engineer is responsible for helping our customers engineer CI/CD pipeline around system testing practices that involve Stacktical.\nLike the rest of the team, they also actively participate in building the Stacktical platform itself.\nWe are looking for a skilled DevOps and Site Reliability Engineer, expert in Scalability, that is excited about the vision of using Predictive Analytics and AI to reinvent the field.\nWith a long-standing passion for automating your work and the work of others, you also understand how Software as a Service is increasingly empowering companies to do just that.\nYou can justify previous experiences in startups and you’re capable of working remotely, with great efficiency, in fast-paced, demanding environments. Ideally, you’d have a proven track record of working remotely for 2+ years.\nNeedless to say, you fully embrace the working philosophy of digital nomadism we’re developing at Stacktical and both the benefits and responsibilities that come with it.\nYour role and responsibilities includes the following :\n- Architecture, implementation and maintenance of server clusters, API and microservices, including critical production environments, in Cloud and other hosting configurations (dedicated, vps and shared).\n- Ensure the availability, performance and scalability of applications in respect of proven design and architecture best practices.\n- Design and execute Scalability strategies that ensure the scalability and the elasticity of the infrastructure.\n- Manage a portfolio of Softwares, their Development Life Cycle and optimize their Continuous Integration and Delivery workflows (CI/CD).\n- Automate the Quality & Reliability Testing of applications (Unit Tests, Integration Tests, E2E Tests, Performance and Scalability Tests).\n## Skills we are looking for\n- A 50-50 mix between Software Development and System Administration experience\n- Proficiency in Node.js, Python, R, Erlang (Elixir) and / or Go\n- Hands on experience in NoSQL / SQL database optimization (slow queries indexing, sharding, clustering)\n- Hands on experience in administering high availability and high performance environments, as well as managing large-scale deployments of traffic-heavy applications.\n- Extensive knowledge of Cloud Computing concepts, technologies and providers (Amazon AWS, Google Cloud Platform, Microsoft Azure…).\n- A strong ability to design and execute cutting edge System Testing strategies (smoke tests, performance/load tests, regression tests, capacity tests).\n- Excellent understanding of Scalability processes and techniques.\n- Good grasp of Scalability, Elasticity concepts and creative Auto Scaling strategies (Auto Scaling Groups management, API-based scheduling).\n- Hands on experience with Docker and Docker orchestration tools like Kubernetes and their corresponding provider management services (Amazon ECS, Google Container Engine, Azure Container Service...).\n- Hands on experience with leading Infrastructure as Code SCM tools like Terraform and Ansible\n- Proven ability to work remotely with teams of various sizes in same/different timezones, from anywhere and still remain highly motivated, productive, and organized.\n- Excellent English communication skills, including verbal, written, and presentation. Great email and Instant Messaging (Slack) proficiency.\nWe’re looking for a self learner always willing to step out her/his comfort zone to become better. An upright individual, ready to write the first and many chapters of the Stacktical story with us.\n## Life at our virtual office\nOur headquarters are in Paris but our offices and our clients are everywhere in the World.\nWe’re a fully distributed company with a 100% remote workforce. So pretty much everything happens on Slack and various other collaborative tools.\n## Remote work at Stacktical\nRemote work at Stacktical requires you to forge a contract with the Stacktical company, using your own billing structure.\nThat means you would either need to own a company or leverage a compatible legal status.\nLabour laws can be largely different from a country to another and we are not (yet) in a position to comply with the local requirements of all our employees.\nJust because you will be a contractor doesn’t make you less of a fully-fledged employee of Stacktical. In fact, even our founders are contractors too.\n## Compensation Package\n#### Fixed-price contract\nYour contract fixed-price is engineered around your expectations, our possibilities and the overall implications of remote work.\nLet’s have a transparent chat about it.\n#### Stock Options\nYes, joining Stacktical means you are entrusted to own part of the company. \n\nPlease mention the words **VEHICLE ORBIT AUNT** when applying to show you read the job post completely (#RMy4xNS4zMS4xMjU=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, JavaScript, Cloud, Erlang, Python, Node, API, Admin, Engineer, Apache, Nginx, Sys Admin, Docker, English, NoSQL, Microsoft and Legal jobs that are similar:\n\n $70,000 — $120,000/year\n