\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

\nRestaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too!\n\n\nRestaurant365 is looking for an experienced Data Engineer to join our data warehouse team thatenables the flow of information and analytics across the company. The Data Engineer will participate in the engineering of our enterprise data lake, data warehouse, and analytic solutions. This is a key role on a highly visible team that will partner across the organization with business and technical stakeholders to create the objects and data pipelines used for insights, analysis, executive reporting, and machine learning.  You will have the exciting opportunity to shape and grow with a high performingteam and the modern data foundation that enables the data-driven culture to fuel the company’s growth.  \n\n\n\nHow you'll add value: \n* Participate in the overall architecture, engineering, and operations of a modern data warehouse and analytics platforms.  \n* Design and develop the objects in the Data Lake and EDW that serve as core building blocks for the semantic layer and datasets used for reporting and analytics across the enterprise. \n* Develop data pipelines, transformations (ETL/ELT), orchestration, and job controls using repeatable software development processes, quality assurance, release management, and monitoring capabilities. \n* Partner with internal business and technology stakeholders to understand their needs and then design, build and monitor pipelines that meet the company’s growing business needs. \n* Look for opportunities for continuous improvements that automate workflows, reduce manual processes, reduce operational costs, uphold SLAs, and ensure scalability. \n* Use an automated observability framework for ensuring the reliability of data quality, data integrity, and master data management.  \n* Partner closely with peers in Product, Engineering, Enterprise Technology, and InfoSec teams on the shared enterprise needs of a data lake, data warehouse, semantic layer, transformation tools, BI tools, and machine learning. \n* Partner closely with peers in Business Intelligence, Data Science, and SMEs in partnering business units o translate analytics and business requirements into SQL and data structures \n* Responsible for ensuring platforms, products, and services are delivered with operational excellence and rigorous adherence to ITSM process and InfoSec policies. \n* Adopt and follow sound Agile practices for the delivery of data engineering and analytics solutions. \n* Create documentation for reference, process, data products, and data infrastructure \n* Embrace ambiguity and other duties as assigned. \n\n\n\nWhat you'll need to be successful in this role: \n* 3-5 years of engineering experience in enterprise data warehousing, data engineering, business intelligence, and delivering analytics solutions \n* 1-2 years of SaaS industry experience required \n* Deep understanding of current technologies and design patterns for data warehousing, data pipelines, data modeling, analytics, visualization, and machine learning (e.g. Kimball methodology) \n* Solid understanding of modern distributed data architectures, data pipelines, API pub/sub services \n* Experience engineering for SLA-driven data operations with responsibility for uptime, delivery, consistency, scalability, and continuous improvement of data infrastructure \n* Ability to understand and translate business requirements into data/analytic solutions \n* Extensive experience with Agile development methodologies \n* Prior experience with at least one: Snowflake, Big Query, Synapse, Data bricks, or Redshift  \n* Highly proficient in both SQL and Python for data manipulation and assembly of Airflow DAG’s. \n* Experience with cloud administration and DevOps best practices on AWS and GCP and/or general cloud architecture best practices, with accountability cloud cost management \n* Strong interpersonal, leadership and communication skills, with the ability to relate technical solutions to business terminology and goals \n* Ability to work independently in a remote culture and across many time zones and outsourced partners, likely CT or ET  \n\n\n\nR365 Team Member Benefits & Compensation\n* This position has a salary range of $94K-$130K. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices. \n* Comprehensive medical benefits, 100% paid for employee\n* 401k + matching\n* Equity Option Grant\n* Unlimited PTO + Company holidays\n* Wellness initiatives\n\n\n#BI-Remote\n\n\n$90,000 - $130,000 a year\n\nR365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, InfoSec, Python, Accounting, DevOps, Cloud, API 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\nRemote

\nCrunch.i, part of the YouGov PLC is a market-defining company in the analytics SaaS marketplace. We’re a company on the rise. We’ve built a revolutionary platform that transforms our customers’ ability to drive insight from market research and survey data. We offer a complete survey data analysis platform that allows market researchers, analysts, and marketers to collaborate in a secure, cloud-based environment, using a simple, intuitive drag-and-drop interface to prepare, analyze, visualize and deliver survey data and analysis. Quite simply, Crunch provides the quickest and easiest way for anyone, from CMO to PhD, with zero training, to analyze survey data. Users create tables, charts, graphs and maps. They filter, and slice-and-dice survey data directly in their browser.\n\nOur start-up culture is casual, respectful of each other’s varied backgrounds and lives, and high-energy because of our shared dedication to our product and our mission. We are loyal to each other and our company. We value work/life balance, efficiency, simplicity, and fantastic customer service! Crunch has no offices and fully embraces a 100% remote culture. We have 40 employees spread across 5 continents. Remote work at Crunch is flexible and largely independent, yet highly cooperative.\n\nWe are hiring a DevOps Lead to help expand our platform and operations excellence. We are inviting you to join our small, fully remote team of developers and operators helping make our platform faster, more secure, and more reliable. You will be self-motivated and disciplined in order to work with our fully distributed team.\n\nWe are looking for someone who is a quick study, who is eager to learn and grow with us, and who has experience in DevOps and Agile cultures. At Crunch, we believe in learning together: we recognize that we don’t have all the answers, and we try to ask each other the right questions. As Crunch employees are completely distributed, it’s crucial that you can work well independently, and keep yourself motivated and focused.\n\nOur Stack:\n\nWe currently run our in-house production Python code against Redis, MongoDB, and ElasticSearch services. We proxy API requests through NGINX, load balance with ELBs, and deploy our React web application to AWS CloudFront CDN. Our current CI/CD process is built around GitHub, Jenkins, BlueOcean including unit, integration, and end to end tests and automated system deployments. We deploy to auto-scaling Groups using Ansible and Cloud-Init.\n\nIn the future, all or part of our platform may be deployed via DroneCI, Kubernetes, nginx ingress, Helm, and Spinnaker.\n\nWhat you'll do:\n\nAs a Leader:\n\n\n* Manage and lead a team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our customer base.\n\n* Scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and tools.\n\n* Hire and ramp exceptional Cloud Operations Engineers.\n\n* Assist in scoping, designing and deploying systems that reduce Mean Time to Resolve for customer incidents.\n\n* Inform executive leadership and escalation management personnel of major outages\n\n* Compile and report KPIs across the full company.\n\n* Work with Sales Engineers to complete pre-sales questionnaires, and to gather customer use metrics.\n\n* Prioritize projects competing for human and computational resources to achieve organizational goals.\n\n\n\n\nAs an Engineer:\n\n\n* Monitor and detect emerging customer-facing incidents on the Crunch platform; assist in their proactive resolution, and work to prevent them from occurring.\n\n* Coordinate and participate in a weekly on-call rotation, where you will handle short term customer incidents (from direct surveillance or through alerts via our Technical Services Engineers).\n\n* Diagnose live incidents, differentiate between platform issues versus usage issues across the entire stack; hardware, software, application and network within physical datacenter and cloud-based environments, and take the first steps towards resolution.\n\n* Automate routine monitoring and troubleshooting tasks.\n\n* Cooperate with our product management and engineering organizations by identifying areas for improvement in the management of applications powering the Crunch infrastructure.\n\n* Provide consistent, high-quality feedback and recommendations to our product managers and development teams regarding product defects or recurring performance issues.\n\n* Be the owner of our platform. This includes everything from our cloud provider implementation to how we build, deploy and instrument our systems.\n\n* Drive improvements and advancements to the platform in areas such as container orchestration, service mesh, request/retry strategies.\n\n* Build frameworks and tools to empower safe, developer-led changes, automate the manual steps and provide insight into our complex system.\n\n* Work directly with software engineering and infrastructure leadership to enhance the performance, scalability and observability of resources of multiple applications and ensure that production hand off requirements are met and escalate issues.\n\n* Embed into SRE projects to stay close to the operational workflows and issues.\n\n* Evangelize the adoption of best practices in relation to performance and reliability across the organization.\n\n* Provide a solid operational foundation for building and maintaining successful SRE teams and processes.\n\n* Maintain project and operational workload statistics.\n\n* Promote a healthy and functional work environment.\n\n* Work with Security experts to do periodic penetration testing, and drive resolution for any issues discovered.\n\n* Liaise with IT and Security Team Leads to successfully complete cross-team projects, filling in for these Leads when necessary.\n\n* Administer a large portfolio of SaaS tools used throughout the company.\n\n\n\n\nQualifications:\n\n\n* Team Lead experience of an on-call DevOps, SRE, or Cloud Operations team (at least 2 years).\n\n* Experience recruiting, mentoring, and promoting high performing team members.\n\n* Experience being an on-call DevOps, SRE, or Cloud Operations engineer (at least 2 years).\n\n* Proven track record of designing, building, sizing, optimizing, and maintaining cloud infrastructure.\n\n* Proven experience developing software, CI/CD pipelines, automation, and managing production infrastructure in AWS.\n\n* Proven track record of designing, implementing, and maintaining full CI/CD pipelines in a cloud environment (Jenkins experience preferred).\n\n* Experience with containers and container orchestration tools (Docker, Kubernetes, Helm, traefik, Nginx ingress and Spinnaker experience preferred).\n\n* Expertise with Linux system administration (5 yrs) and networking technologies including IPv6.\n\n* Knowledgeable about a wide range of web and internet technologies.\n\n* Knowledge of NoSQL database operations and concepts.\n\n* Experience in monitoring, system performance data collection and analysis, and reporting.\n\n* Capability to write small programs/scripts to solve both short-term systems problems and to automate repetitive workflows (Python and Bash preferred).\n\n* Exceptional English communication and troubleshooting skills.\n\n* A keen interest in learning new things.\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 DevOps, Executive, React, English, Elasticsearch, Cloud, NoSQL, Python, API, Sales, SaaS, Engineer, Nginx and Linux jobs that are similar:\n\n $70,000 — $120,000/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

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 (#RMjE2LjczLjIxNi4xMQ==). 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