\nLeading the future in luxury electric and mobility\nAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.\n \nWe plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.\n \nCome work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.\n\n\n\nThe Role:\n* Sr. Principal Big Data Software Architect to implement a highly scalable system to ingest and process Petabytes of data per day.  \n* Hands-on design and development of streaming data pipeline and data management.  \n* Implement and manage industry best practice tools and processes such as Data Lake, Iceberg, Spark ETL, Airflow, Kafka, MQTT, Timeseries Database, Trino, Kubernetes, Docker, CI/CD, DevOps\n* Contribute to the overall architecture, implementation, and ongoing maintenance of our codebase\n* Optimize the performance and scale our data ingestion and processing infrastructure to server ever-increasing volume.\n\n\n\nQualifications:\n* Bachelor or Masters in Software Engineering and Computer Science \n* 15+ years of experience in the design and development of large scale data platforms \n* Experienced in Spark development with PySpark or Scala \n* Experienced in Data Lake, Parquet, ORC, or Similar Technologies\n* Experienced in containerization, including Docker and Kubernetes \n* Experienced in Data streaming platforms such as Apache Kafka, and Spark Streaming\n* Expert in designing and implementing reliable, scalable, and performant distributed systems and data pipelines \n* Extensive programming and software engineering  experience, especially in Scala, Python, and/or C++ \n* Experience with running large-scale distributed computing infrastructure such as load balancing, Zookeeper, Microservice architecture    \n* Experience with managing distributed databases like Elasticsearch, Cassandra  \n* Great verbal and written communication skills.  \n\n\n\n\n\nSalary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.\n\n\n· California (Bay Area) - $177,000 - $253,000\n\n\nAdditional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)\n\n\nLucid maintains your privacy according to its Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. \n\n\nAt Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.\n \nTo all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker and Education jobs that are similar:\n\n $40,000 — $75,000/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\nNewark, CA

\nLeading the future in luxury electric and mobility\nAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.\n \nWe plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.\n \nCome work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.\n\n\n\nThe Role:\n* Sr. Principal Big Data Software Architect to implement a highly scalable system to ingest and process Petabytes of data per day.  \n* Hands-on design and development of streaming data pipeline and data management.  \n* Implement and manage industry best practice tools and processes such as Data Lake, Iceberg, Spark ETL, Airflow, Kafka, MQTT, Timeseries Database, Trino, Kubernetes, Docker, CI/CD, DevOps\n* Contribute to the overall architecture, implementation, and ongoing maintenance of our codebase\n* Optimize the performance and scale our data ingestion and processing infrastructure to server ever-increasing volume.\n\n\n\nQualifications:\n* Bachelor or Masters in Software Engineering and Computer Science \n* 15+ years of experience in the design and development of large scale data platforms \n* Experienced in Spark development with PySpark or Scala \n* Experienced in Data Lake, Parquet, ORC, or Similar Technologies\n* Experienced in containerization, including Docker and Kubernetes \n* Experienced in Data streaming platforms such as Apache Kafka, and Spark Streaming\n* Expert in designing and implementing reliable, scalable, and performant distributed systems and data pipelines \n* Extensive programming and software engineering  experience, especially in Scala, Python, and/or C++ \n* Experience with running large-scale distributed computing infrastructure such as load balancing, Zookeeper, Microservice architecture    \n* Experience with managing distributed databases like Elasticsearch, Cassandra  \n* Great verbal and written communication skills.  \n\n\n\n\n\nSalary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.\n\n\n· California (Bay Area) - $177,000 - $253,000\n\n\nAdditional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)\n\n\nLucid maintains your privacy according to its Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. \n\n\nAt Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.\n \nTo all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker and Education jobs that are similar:\n\n $40,000 — $75,000/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\nNewark, CA

\nAbout the team\n\nOur team researches and develops machine learning models and systems that help make the Internet a safer place. We serve customers across multiple verticals such as online commerce, delivery service, finance, travel sites, etc., and we have customers in both developed and developing countries. Our technology helps protect Internet users from ever-evolving online scams, payment fraud, abusive content, account takeover, etc.  We are a forward-thinking team constantly challenging ourselves and the status quo to push the boundary of machine learning and data science across multiple product offerings at Sift and collaborate with product engineering teams to deliver tangible customer value.\n\nWe take pride in our work, not ourselves. Open and constructive feedback is valued and often required to ensure rigor in our work. We love learning, hacking, and sharing our findings. We believe that machine learning is THE way to empower internet-scale businesses to thrive.\n\nWhat you'll do\n\n\nDesign and implement end-to-end machine learning products\n\nBuild highly scalable Big Data pipelines using Apache Flink, Beam, and Spark\n\nPrototype and explore model serving frameworks, workflow orchestration engines, and other machine learning platforms\n\nCollaborate with other engineers and data scientists and contribute to internal tooling, experimentation, prototyping, and productization effort\n\nLead system design discussions and drive engineering excellence\n\nMentor junior engineers and data scientists on system design and coding\n\n\n\n\nWhat would make you a strong fit:\n\n\nYou have a growth mindset and a strong interest to work with real-world machine learning applications and technologies\n\nYou are curious about customer and business needs\n\nYou are data-driven, love to challenge your assumptions and try new things\n\nYou are passionate about building very large scale distributed systems\n\n5+ years of experience working with large datasets (think TBs of data, 10s of thousands of features) in both batch and streaming environments\n\nExpert programmer in Java or other object-oriented programming languages\n\nDeep experience with python, docker container, k8s, terraform, etc.\n\nExcellent communication skills and collaborative work attitude\n\nB.S degree in Computer Science or related field \n\n\n\n\nA little about us:\n\nSift is the leading innovator in Digital Trust & Safety.  Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.\n\nThe Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. Sift allows businesses to scale, win, and thrive in the digital era by drawing on insights from our global network of customers.\n\nBenefits and perks:\n\n\nCompetitive total compensation package\n\n401k plan\n\nMedical, dental and vision coverage\n\nWellness reimbursement\n\nEducation reimbursement\n\nFlexible time off\n\n\n\n\nSift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in thought, experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day, so we can Win as One Team.\n\nThis document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy\n\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 SaaS, Amazon, Engineer, Design, Docker, Cloud, Ruby, Senior, Junior, Backend, Digital Nomad, API, Marketing, Sales, Embedded, Video, C, Golang, Linux, Consulting, HR, Copywriting, Education, Ecommerce, JavaScript, Typescript, Finance, Travel, Java 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\nSan Francisco, California, United States

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.\n\nLead Data Scientist - Remote - 101791\nData Science - Remote \n\nThe Lead Data Scientist’s primary responsibility in the Audio Data Science team is to develop creative solutions to enhance the data and analysis infrastructure and pipeline which underpins the survey quality for all Nielsen Audio survey products.  In order to deliver high quality standards, the Data Scientist will work as subject matter expert on a team of analysts to establish, maintain and continuously improve data tools and processes supporting the Audio data science team.  \nTasks will include developing system enhancements, procedural and technological documentation, working with cross functional teams to implement solutions into production systems, supporting survey methodology enhancement projects, and supporting client facing data requests.\n\nWhat will I do?\nMaintain and continuously improve the variety of data infrastructure, analysis, production and QA processes for the Audio Data Science team\nAssist in the transition of the data science tech infrastructure away from legacy systems and methods\nWork with cross-functional teams to implement and validate enhanced audience measurement methodologies\nBuild and refine data queries from large relational databases/data warehouses/data lakes for various analyses and/or requests\nUtilize tools such as Python, Tableau, AWS, Databricks etc. to independently develop, test and implement high quality custom, modular code to perform complex data analysis, visualizations, and answer client queries\nMaintain and update comprehensive documentation on departmental procedures, checklists and metrics\nImplement prevention and detection controls to ensure data integrity, as well as detect and address quality escapes\nWork closely with internal customers and IT personnel to improve current processes and engineer new methods, frameworks and data pipelines\nWork as an integral member of the Audio Data Science team in a time-critical production environment\nKey tasks include – but are not limited to – data integration, data harmonization, automation, examining large volumes of data, identifying & implementing methodological, process & technology improvements\nDevelop and maintain the underlying infrastructure to support forecasting & statistical models, machine learning solutions, big data pipelines (from internal and external sources) used in a production environment\n\nIs this for me?\nUndergraduate or graduate degree in mathematics, statistics, engineering, computer science, economics, business or fields that employ rigorous data analysis\nMust be proficient with Python (and Spark/Scala) to develop sharable software with the appropriate technical documentation\nExperience utilizing Gitlab, Git or similar to manage code development\nExperience utilizing Apache Spark, Databricks & Airflow\nExpertize with Tableau, or other data visualization software and techniques\nExperience in containerization such as Docker and/or Kubernetes\nExpertize in querying large datasets with SQL and of working with Oracle, Netezza, Data Warehouse and Data Lake data structures\nExperience in leveraging CI/CD pipelines\nExperience utilizing cloud computing platforms such as AWS, Azure, etc\nStrong ability to proactively gather information, work independently as well as within an multi disciplinary team\nE- Proficiency in MS Office suite (Excel, Access, PowerPoint and Word) and/or Google Office Apps (Sheets, Docs, Slides, Gmail)\n\nPreferred\nKnowledge of machine learning and data modeling techniques such as Time Series, Decision Trees, Random Forests, SVM, Neural Networks, Incremental Response Modeling, and Credit Scoring\nKnowledge of survey sampling methodologies\nKnowledge of statistical tests and procedures such as ANOVA, Chi-squared, Correlation, Regression, etc\n#LI-SF1\n\nABOUT NIELSEN\nAs the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth. \nDo you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!  \n\nNielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.\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 Data Science, Executive, Cloud, Git, Python, Engineer and Apache jobs that are similar:\n\n $80,000 — $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

**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nOver 1.7 million businesses have bet their success on the stability and performance of the Shopify platform. In order to support these growing businesses—as well as the next million—our systems need to be fast, reliable, scalable and secure. Accomplishing that will require people like you: talented, curious, growth-minded and empathetic engineering managers that are excited to build, support and lead our infrastructure teams.\n\n**Job Description**\n\nProduction Engineering, which is part of our core engineering organization, builds, operates and improves the heart of Shopify’s technical platform. We are a fast-growing team focused on building and maintaining tools and services to unlock the power of planet scale infrastructure for all of Shopify’s merchants, buyers and developers. \n\nShopify has grown rapidly over the last number of years. As an experienced infrastructure engineering manager, we need your help to both start new teams and expand and grow the missions of our existing teams. There are multiple positions available on a variety of teams and we will work with you as part of the interview process to identify which team best fits your interests, needs and experience.\n\n**Here is a sampling of some of the teams, systems and projects to which you could contribute:**\n\n* Expand the reach of our search systems to standardize the way we index documents in different languages and in various locations around the world\n* Scale a team looking at solving issues with shopping cart access, configuration plane information and package tracking data using a globally accessible, high write key/value store\n* Grow the capacity of our worldwide distributed site reliability engineering teams, consulting with other engineering groups on how to build low latency, highly resilient systems\n* Take our observability systems to the next level, expanding and evangelizing the usage of tracing, metrics and structured logging across the company \n* Work on expanding our highly scalable and configurable job system to support all of the applications on the platform\n* Keep our databases operating optimally using proxies, load shedding, custom routing layers and application transparent sharding\n* Build manipulation primitives such as combination and filtering into our streaming infrastructure to allow teams to translate existing data streams into specific business problems\n\n**Qualifications**\n\nWhile we don’t need you to have specific experience with our technology stack, these are leadership positions that do require that you have: \n\n* Proven management and leadership skills, allowing you to develop and mentor others as well as build credibility with your team while executing broader engineering strategies\n* Demonstrated proficiency designing and improving the development, delivery and automation of software infrastructure within a cloud environment\n* Experience developing and designing solutions in a modern, high-level/systems programming language (Go, Ruby, Python, Java, C++, C, etc…)\n* Familiarity working with senior stakeholders across the organization, both technical and non technical, to develop roadmaps, integrate with larger company initiatives and deliver business and engineering value.\n\n**If you have experience in any of the following areas, that will certainly be put to good use. But if you don’t, that’s ok -- the faster you apply, the quicker we can get to teaching you about:**\n\n* Building services and deploying them on top of Kubernetes and/or Google Cloud Platform\n* Familiarity with how to design, build, understand and maintain distributed systems \n* Working with Terraform and/or other infrastructure orchestration tooling\n* Participating in an on call rotation and/or site reliability engineering (SRE) experience\n* Automating infrastructure operations\n\n**Additional information**\n\nWe know that applying to a new role takes a lot of work and we truly value your time. We’re looking forward to reading your application.\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. \n\nPlease mention the words **BOX CRAFT TRUE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMTU=). 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#Location\nUnited States, Canada