\nWho We Are:\n\nSmithRx is a rapidly growing, venture-backed Health-Tech company.  Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service.  With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.\n\nWe pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:\n\n\n* Integrity: Do the right thing. Especially when it’s hard.\n\n* Courage: Embrace the challenge.\n\n* Together: Build bridges and lift up your colleagues.\n\n\n\n\nJob Summary:\n\nSmithRx is innovating in Pharmacy Benefits Management (PBM) with a next-gen platform, transforming how businesses manage pharmacy benefits. Our advanced technology offers real-time insights for cost efficiency, improved clinical services, and an enhanced customer experience. As part of SmithRx's product & engineering organization, the data engineering team is committed to creating a scalable and reliable data ecosystem, a vital foundation for delivering excellent service and operational superiority to our customers.\n\nWe are currently seeking a highly motivated Senior Data Engineer to join our fast-paced data team. The ideal candidate will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure data quality and reliability. This should also include a strong background in data engineering, with expertise in data modeling, ETL processes, and cloud technologies.\n\nWhat you will do:\n\n\n* Design and implement scalable data models in enterprise data warehouse to support the company's analytical and reporting needs.\n\n* Develop and optimize ETL processes to ingest, transform, and load data from various sources into a data warehouse.\n\n* Collaborate with internal stakeholders, including Data Analytics team, to understand data requirements and translate them into technical solutions.\n\n* Build and maintain data warehouses, data lakes, and other data storage solutions to store and manage large volumes of structured and unstructured data.\n\n* Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance.\n\n* Monitor and optimize ETL jobs, database performance and data warehouse queries.\n\n* Document data engineering processes, data models, and design for knowledge sharing and reference.\n\n* Mentor junior data engineers and provide technical guidance and support to team members.\n\n\n\n\nWhat you will bring to SmithRx:\n\n\n* Bachelor's degree above in Computer Science, Information Technology, or a related field.\n\n* 5+ years of related experience in data engineering, software engineering, including proven experience as a Data Engineer with expertise in data warehouse technologies.\n\n* Strong programming skills, particularly in languages such as Python, Java. Proficiency in SQL, PySpark.\n\n* Strong programming skills, particularly in languages such as Python, Java. Proficiency in SQL, PySpark\n\n* Solid understanding of data modeling concepts and database design principles.\n\n* Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker)\n\n* Strong problem-solving abilities and attention to detail.\n\n* Excellent communication and collaboration skills.\n\n* Positivity; non-dogmatic, team-first attitude\n\n* Flexibility; someone who is responsive and comfortable with ambiguity\n\n* Start-up or healthcare experience is highly desirable\n\n\n\n\nWhat SmithRx Offers You: \n\n\n* Total Rewards package that includes incentive bonus and stock options\n\n* Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance\n\n* Flexible Spending Benefits \n\n* 401(k) Retirement Savings Program \n\n* Short-term and long-term disability\n\n* Discretionary Paid Time Off \n\n* 12 Paid Holidays\n\n* Wellness Benefits\n\n* Commuter Benefits \n\n* Paid Parental Leave benefits\n\n* Employee Assistance Program (EAP)\n\n* Well-stocked kitchen in office locations\n\n* Professional development and training opportunities\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 Design, Cloud, Senior and Engineer jobs that are similar:\n\n $65,000 — $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

\nAbout the Role\n\nAs a staff level Data Engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Data Engineering and Data Platform teams. You will lead the design, implementation, and maintenance of a performant and cost efficient data pipelines (both batch and streaming), as well as contribute to the overall Maven data architecture, with the goal of expanding our data warehouse functionality and uplevel the data analytics and machine learning capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality data sets and features, that empower our key business and product decision makings, and eventually lead to Maven’s growth and customer success.\n\nKey Responsibilities\n\n\n* Lead the design, implementation and maintenance of highly performant and cost efficient data pipelines\n\n* In partnership with data platform and backend teams, contribute to the architecture design of a highly scalable and reliable data systems\n\n* Collaborate with product and service engineers in reviewing the modeling of the source datasets, guiding the holistic data vision between various data systems\n\n* Drive technical design discussions in all related data domains and provide guidance to team members on best practices, coding standards, and architecture principles.\n\n* Mentor and guide and mid-level data engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement.\n\n* Identify and evaluate emerging technologies, tools, and trends that can drive innovation and improve the efficiency and effectiveness of our data engineering processes.\n\n\n\n\nQualifications\n\n\n* Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.\n\n* Minimum of 7 years of experience in data engineering or relevant backend development, with a proven track record of building highly scalable, performant, and reliable data pipelines.\n\n* Extensive experience in using SQL or similar data processing language to process and analyze data\n\n* Extensive experience with data modeling for large distributed data warehouses (or a similar cloud based) solutions, is able to discuss in-depth about general principles and trade-offs of different modeling approaches.\n\n* Hands-on experience with one of the workflow orchestration tools (eg. Apache Airflow)\n\n* Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional business partners, especially with teams outside of the engineering group\n\n* Working proficiency in one of the programming languages (Java, Python, Go, etc.) \n\n* Product mindset to embrace business needs and produce scalable data/engineering solutions\n\n* Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles.\n\n* Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment.\n\n\n\n\nAt Maven Clinic, we are committed to building a world-class digital healthcare platform that empowers women and families to live healthier and more fulfilling lives. If you are a seasoned engineer with a passion for building scalable, performant, and reliable systems, and want to make a real impact in the world of healthcare, we would love to hear from you.\n\nFor candidates in NYC or CO, the salary range for this role is $195,000 - $300,000 per year. You may also be entitled to receive a bonus, stock options, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Engineer and Backend jobs that are similar:\n\n $40,000 — $105,000/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\nNew York City, New York, United States

\n* Role can be remote - from anywhere in Poland\n\nWe are a cloud-native SaaS machine data analytics platform, solving complex monitoring problems for DevOps, SecOps and ITOps teams.  Our customers, including Airbnb, Twitter, BBC and Toyota, choose our solution because it allows them to easily monitor and optimise their large scale applications.\n\nOur micro services architecture in AWS ingests hundreds of TB daily across many geographic regions. We also have short release cycles and no legacy versions to maintain. We write in Scala and use open-source technologies such as Kafka, Kubernetes and Cassandra.\n\nAs a Site Reliability Engineer you will work towards enhancing the reliability of Sumo Logic product. Our customers rely not only on a rich feature set of the product but also on it being always available - often it’s their primary tool for maintaining their own software. \n\nThe SRE team is unique in Sumo Logic as it doesn’t own any product service, you will work towards the whole codebase of the Sumo Logic product. You will identify the weakest links in either reliability or performance, research and benchmark possible improvements, and implement solutions in cooperation with the owning teams. You will not focus narrowly, there’s a broad spectrum of topics and projects you might get involved in. You will not operate the software, but create tools for other teams to increase visibility, observability, and scalability of Sumo Logic services.\n\nAs a Senior Site Reliability Engineer you will:\n\n\nDeal with software which processes data at a huge scale\n\nIdentify reliability improvement areas based on past evidence of production incidents\n\nProgram in Scala\n\nResearch, benchmark, optimise and implement solutions aiming at improving the performance and reliability of our product\n\nWork with other teams in Sumo Logic Engineering to increase the observability of their services, share reliability knowledge, automate toil, improve their tooling and replace manual processes\n\n\n\n\nExample projects:\n\n\nSLI (Service Level Indicator) monitoring\n\nPerformance measurements and visualisation tooling (perf, ebpf, flamegraphs)\n\nConfiguration as Code\n\nOptimising usage of cloud services (AWS)\n\n\n\n\nYou have:\n\n\nAt least BSc in Computer Science or related field\n\n6+ (Senior) / 9+ (Staff) years of professional experience\n\nGood coding skills in any language. Object oriented languages are preferred\n\nStrong troubleshooting skills in complex systems\n\nAbility to rapidly learn new software, frameworks, open source tools and development languages\n\nStrong knowledge of large-scale internet service architecture (e.g. load balancing)\n\nStrong understanding of Unix and TCP/IP fundamentals\n\n\n\n\nIdeally you also have:\n\n\nExperience with performance, scalability, and reliability issues of 24x7 commercial services\n\nProficiency with the Amazon AWS ecosystem\n\nSelf-driven and being proactive\n\nConfiguration and maintenance of common infrastructure such as Apache ZooKeeper, HAProxy\n\nExperience working in a test-driven environment\n\n\n\n\nWhy it’s worth applying:\n\n\nGreat salary - employment contract (65% authorship costs).\n\nStrong engineering teams.\n\nStock (RSU) grant.\n\n$2000 / year education budget + 2 extra days off. \n\n4 extra days off in 2022 (Sumo Wellness Days).\n\nHack weeks and tech talks.\n\nPrivate healthcare for you and your family.\n\nMedical and life insurance. \n\nSports card.\n\nWFH budget. \n\nLunch budget.\n\nIndividual English lessons with a native speaker.\n\nYou can work from the office, 100% remotely or in a hybrid model. \n\n\n\n\n#LI-Remote\n\n#LI-AO1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to English, Amazon, Education, Cloud, Scala, Senior, SaaS, Engineer and Apache 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
\n\n#Location\nWrocław, Lower Silesian Voivodeship, Poland