Requirements Engineer jobs at Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Experimental Projects team is our in-house innovation lab where we rapidly transform ideas into working prototypes. We operate as an idea incubator, building and testing new concepts with real users, sometimes going from concept to functional prototype in just days. What you'll do As a Software Engineer on the Experimental Projects team, you'll be at the forefront of innovation at Stripe, turning promising ideas into tangible solutions that could shape the future of our platform. You'll have the autonomy to identify opportunities, rapidly build prototypes, and work directly with users to validate and iterate on your solutions. This role combines technical excellence with creative problem-solving - you'll work across our entire technology stack to bring ideas to life, sometimes in just days. Your work will help us discover new ways to empower businesses worldwide, contributing directly to Stripe's mission of increasing the GDP of the internet. Whether it's creating new developer tools, exploring novel payment experiences, or inventing entirely new products, you'll have the freedom to experiment and the resources to make a significant impact. Responsibilities You will operate with high autonomy to identify and champion technical solutions that address areas of high business ambiguity and opportunity, translating complex user needs into long-lasting platform strategy. You will be at the forefront of innovation, turning high-leverage, promising ideas into tangible, robust solutions that could shape the future of our platform and our product roadmap. You will combine technical excellence with creative problem-solving, working across our entire technology stack to bring ideas to life rapidly, ensuring the majority of your impact remains technical in nature. You will frequently serve as a key engineering representative when engaging with senior leaders and decision-makers across large groups within Stripe. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 12+ years of engineering experience or equivalent combined work experience reflecting domain expertise Experience in rapidly developing prototypes and iterating based on user feedback Demonstrate strong product intuition and experience leading initiatives spanning multiple teams and leveraging deep domain expertise to influence tech roadmap planning and execution Have experience building and shipping products from scratch Experience leading and influencing technical roadmaps for initiatives spanning multiple, highly interacting teams. Preferred qualifications Are comfortable with ambiguity and fast-paced environments Have a passion for working on side-projects, open source, or similar self-driven initiatives you're proud of Bring energy and enthusiasm that inspires collaboration

Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit ************ At Gong, we're building the systems and data infrastructure that fuel our go-to-market engine. As the Growth Engineer Lead for Marketing, you'll lead the strategy and execution for the technology that powers marketing, sales, and revenue teams. Your work will directly shape how Gong drives pipeline, improves conversion efficiency, and scales growth across multiple channels. This role is ideal for a strategic visionary who thrives at the intersection of software, data, and business strategy - someone excited to design innovative solutions, partner alongside a world-class technical team, and ensure Gong's growth systems evolve ahead of the company's ambitious goals. RESPONSIBILITIES Own the growth systems roadmap: Prioritize initiatives across automation, experimentation, data, and funnel optimization to accelerate pipeline and revenue. Drive cross-functional impact: Partner with marketing, engineering, analytics, marketing, and sales ops to build scalable, data-driven systems that power go-to-market success. Optimize the martech stack: Partner with the Marketing Ops team to evaluate, select, and integrate tools to support growth/ Enable data-driven decisions: Partner with Marketing Analytics to ensure clean, reliable data for performance tracking, attribution, and executive reporting. Scale efficiency: Automate workflows and improve speed to market across paid media, SEO, web, ABM, and emerging channels. Experiment for growth: Run tests to uncover high-impact opportunities and deliver measurable business outcomes. QUALIFICATIONS 10+ years of experience in engineering, data, marketing operations, or related fields. Deep expertise in React and modern JavaScript frameworks, with a strong software engineering foundation. Proven success building and launching high-performance, real-time applications in production. Experience integrating CRM and marketing automation systems (e.g., Salesforce, Marketo) to scale growth and revenue operations. Ability to bridge strategy and execution, collaborating across technical teams and executive stakeholders. Familiarity with enterprise marketing and sales systems such as Salesforce, HubSpot, Marketo, Demandbase, ChiliPiper, Intellimize, or similar platforms. Experience leading complex cross-functional data projects involving both technical and business teams. Ability to find creative ways to use AI to enable prompt engineering. The ideal candidate embraces a growth mindset, communicates effectively across teams, and brings precision and creativity to solving growth challenges. WHY THIS ROLE MATTERS Gong is scaling fast, and the technology behind our growth efforts must scale even faster. In this role, you'll shape the foundation that enables Gong to reach new markets, expand internationally, and move upmarket - while equipping our go-to-market teams with the tools and data they need to succeed. PERKS & BENEFITS We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family's needs. Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. Mental Health benefits with covered therapy and coaching. 401(k) program to help you invest in your future. Education & learning stipend for personal growth and development. Flexible vacation time to promote a healthy work-life blend. Paid parental leave to support you and your family. Company-wide recharge days each quarter. Work from home stipend to help you succeed in a remote environment. The annual salary hiring range for this position is $138,600 - $192,000 USD. Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from ************ domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit ********************************************************** for more details. #LI-MT1

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world's most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit ************ At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We're growing fast-and we're building a world-class R&D organization in the U.S. to scale our global impact. This is an opportunity to become a part of a critical function at the ground floor of that expansion. We're looking for a DevSecOps Engineer to join and scale our U.S.-based DevSecOps function. You'll join a small team, focused on DevOps tasks in Security-related areas. You'll be pivotal in designing, implementing and maintaining our cloud infrastructure, especially security security-related parts of it. You'll partner closely with the larger DevOps organization along with Engineering, Security, and IT teams globally to ensure Gong's systems are secure, scalable, and high-performing. As one of the foundational members in our U.S. R&D team, you'll shape not only the infrastructure but also the culture and processes that support Gong's next phase of expansion and innovation. RESPONSIBILITIES Help designing, deployment, and continuous improvement of secured, scalable and reliable cloud infrastructure (primarily AWS). Contribute to the design and implementation of best security practices and tooling for CI/CD, monitoring and developer experience. Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention. Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices. Impactful Contribution: Play a major part in shaping the company's cloud strategy, focusing on innovation and long-term success with security considerations in mind." QUALIFICATIONS 3+ years of experience in DevOps, Site Reliability, or Platform Engineering roles. Proven track record of building and operating scalable cloud environments (AWS preferred). Deep understanding of infrastructure-as-code and GitOps methodologies (Crossplane, Terraform, CloudFormation, Pulumi). Strong experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins, ArgoCD, CircleCI). Extensive experience with running Kubernetes and container orchestration in production. A solid understanding of computer networking fundamentals, REST architecture, and cloud security concepts. Experience with AWS security services such as IAM, KMS, GuardDuty, CloudTrail, and Security Hub. Knowledge of security principles and compliance frameworks (SOC2, ISO27001, etc.). Familiarity with vulnerability scanning and management tools. Experience implementing security automation in CI/CD pipelines. Background in container security and Kubernetes security best practices. Experience working in a Java-based environment. One or more security-related certifications (CKA,CISSP, CEH, Security+, or similar). Hands-on experience with observability tools (Prometheus, Grafana, Datadog, etc.). Excellent communication skills. Experience working in fast-paced, high-growth SaaS or product environments. Bonus: Experience working in a hybrid/global team across time zones. Willing to travel internationally from time to time PERKS & BENEFITS We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family's needs. Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. Mental Health benefits with covered therapy and coaching. 401(k) program to help you invest in your future. Education & learning stipend for personal growth and development. Flexible vacation time to promote a healthy work-life blend. Paid parental leave to support you and your family. Company-wide recharge days each quarter. Work from home stipend to help you succeed in a remote environment. The annual salary hiring range for this position is $136,000 - $160,000 USD. Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from ************ domain. Any outreach claiming to be from Gong via other sources should be ignored. Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law. To review Gong's privacy policy, visit ********************************************************** for more details. #LI-DD1

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir's product that enables autonomous management and continuous deployment of mission critical software, wherever it is. We're transforming the way organizations around the world deploy software, taking SAAS where SAAS has not gone before: from on-premise, to various cloud providers, to disconnected environments (air-gapped), to strict accreditation frameworks, and to the edge. As a Front End Engineer on the Apollo platform you will be responsible for the experience of thousands of users, architecting workflows and interfaces that make sophisticated deployment and monitoring tasks simple. You might spend one day interviewing users to understand their complex workflows and the next brainstorming mockups with Product Designers. Another day, you could tackle building out a workflow, partnering with backend engineers to wire up your code with the APIs, or even building out APIs yourself! We're hiring engineers who are passionate about the whole product development lifecycle - not just fixing bugs or maintaining legacy code - from idea generation, user interviews, planning, design, prototyping, execution, shipping, and iteration. Learn more about Apollo and why it was built!Core Responsibilities Work closely with forward deployed, platform, and customer engineers to understand user workflows, product gaps and identify both short and long-term product capabilities Work with Product Designers to develop the overall look and design of our web application Develop and evolve core libraries and components used to render user interfaces Collaborate with Backend Engineers to define APIs that support frontend functionality Routinely test and debug web applications, manually and through automation, to maintain high quality and performance Champion a long-term tech roadmap to build high-quality app interactions, polished & reusable UX, reduce operational burden, ensure scalability, reduce risk, and strive for step-changes whenever possible Technologies We Use Core Palantir products provide the foundations for our deployments TypeScript and React are central to our front-end development GraphQL is used for data transport Blueprint as a re-useable frontend component library A combination of open-source and internal technologies that suit the problems at hand Industry-standard build tooling, including Gradle, Webpack, GitHub, and CircleCI What We Value Product-centric individuals who have a high sense of ownership and ability to own projects end-to-end Belief in the importance of UI/UX in productionizing infrastructure management systems Clear and concise verbal and written communications Demonstrated ability to work in a fast-paced product development team, with peers and teammates across multiple locations and timezones High engineering standards and a desire to improve both new and existing systems Willingness and enthusiasm to do what it takes to get things done, leading by example and deeply engaging with the team's day-to-day work A focus on impact and an ability to articulate the value your work provides Familiarity with GraphQL and API schema design What We Require 2+ years of front end software engineering experience. Regardless of which frameworks you use or how you learned them, we're looking for people who can write clean, effective code. Proven track record of building impactful user interfaces, understanding how technical decisions impact users. Proficiency with web technologies and front end programming languages such as JavaScript, TypeScript, or similar languages. Proficiency with web technology languages such as React, JavaScript, TypeScript, or equivalent. Demonstrated ability to learn continuously, work independently, and make decisions with minimal supervision in a rapidly changing environment with dynamic objectives and iteration cycles. Salary The estimated salary range for this position is estimated to be $145,000- $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance• Employees are automatically covered by Palantir's basic life, AD&D and disability insurance• Commuter benefits• Relocation assistance• Take what you need paid time off, not accrual based• 2 weeks paid time off built into the end of each year (subject to team and business needs)• 10 paid holidays throughout the calendar year• Supportive leave of absence program including time off for military service and medical events• Paid leave for new parents and subsidized back-up care for all parents• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation• Stipend to help with expenses that come with a new child• Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Front End Engineer Responsibilities: 1. Develop, design, create, modify, and/or test mobile and desktop web software applications or systems. 2. Architect efficient and reusable front-end systems that drive complex web applications. 3. Implement features and user interfaces to optimize performance of user-facing products. 4. Collaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing products. 5. Identify and resolve performance and scalability issues. 6. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 7. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. **Minimum Qualifications:** Minimum Qualifications: 8. Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics or related field and 6 months of work experience in the job offered or in a computer related role. Requires 6 months of experience in the following: 9. Javascript 10. Web technologies: HTML and CSS 11. Write reusable and high-performance user interface components 12. Object Oriented JavaScript Frameworks, such as Prototype JS, MooTools, or Dojo 13. Architectural design for complex front-end systems 14. Performance debugging and benchmarking 15. Building web applications and 16. Implement automated testing for front-end code **Public Compensation:** $238,674/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways.As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will be multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role. **Required Skills:** Linguistic Engineer Responsibilities: 1. Build datasets, pipelines, and models for ML applications 2. Directly support product development with rules, prompts, and data patches 3. Evaluate the quality of models and product experiences and close the feedback loop 4. Clearly communicate with project stakeholders 5. Identify best practices and improve procedures across data systems 6. Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support 7. Design and conduct product experiments 8. Solve complex problems and embrace ambiguity to drive innovative and impactful solutions 9. Manage and prioritize multiple work streams 10. Collaborate seamlessly with cross-functional teams **Minimum Qualifications:** Minimum Qualifications: 11. Experience as data scientist, software engineer, computational linguist or in similar role 12. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack 13. Experience with text analysis, scripting, relational database, No SQL databases or similar 14. Experience shipping multiple products across various platforms 15. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience **Preferred Qualifications:** Preferred Qualifications: 16. 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies 17. Practical knowledge of the relationship between data and machine learning models 18. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on 19. Experience designing and conducting data experiments 20. Experience with version control, unit tests, and other programming best practices 21. Fluency in additional languages 22. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields **Public Compensation:** $133,000/year to $182,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways. As a Linguistic Engineer in this role, you will use your linguistic analysis and natural language processing (NLP) expertise to identify, assess, and mitigate risks related to language-based vulnerabilities, adversarial content, and safety threats in Meta's products. You will help deliver datasets, models, and knowledge that power the ML systems across all components in the multimodal assistant product, such as ASR/TTS, NLU, NLG, Dialog, and LLMs. The Linguistic Engineer delivers datasets, and designs and produces evaluation metrics across languages and areas that power the voice assistant product. The ideal candidate has demonstrated technical, analytical, and collaboration skills with experience in building datasets for ML applications, with a focus on red-teaming and safety. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. **Required Skills:** Linguistic Engineer Responsibilities: 1. Build adversarial datasets, data pipelines, and models for ML applications 2. Directly support product development with rules, prompts, and data patches 3. Evaluate the safety and quality of models and product experiences and close the feedback loop 4. Work with project stakeholders 5. Identify best practices and improve procedures across data systems 6. Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support 7. Design and conduct product experiments 8. Solve complex problems and embrace ambiguity to drive innovative and impactful solutions 9. Manage and prioritize multiple work streams 10. Collaborate seamlessly with cross-functional teams **Minimum Qualifications:** Minimum Qualifications: 11. Experience as data scientist, software engineer, computational linguist or in similar role 12. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack 13. Experience with text analysis, scripting, relational database, No SQL databases or similar 14. Experience shipping multiple products across various platforms 15. Degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or related fields, or equivalent experience 16. Willingness to develop, create and evaluate adversarial and potentially offensive content 17. Experience with data tools, pipelines, and analytics is needed for this role **Preferred Qualifications:** Preferred Qualifications: 18. Experience collaborating with cross-functional teams to design and execute redteaming exercises, develop robust safety protocols, and enhance detection systems for harmful or manipulative language 19. 2 + years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies 20. Practical knowledge of the relationship between data and machine learning models 21. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, and so on 22. Experience designing and conducting data experiments 23. Experience with version control, unit tests, and other programming best practices 24. Professional working experience with additional languages 25. Advanced coursework and/or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields 26. Experience being multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development **Public Compensation:** $103,000/year to $156,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineer, Analytics Responsibilities: 1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. 2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. 3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. 4. Define and manage SLA for all data sets in allocated areas of ownership. 5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. 6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. 7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. 8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. 9. Influence product and cross-functional teams to identify data opportunities to drive impact. 10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 12. Project management leveraging Agile or Kanban methodologies. 13. Create detailed design reviews to represent architectural design options. 14. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 15. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following: 16. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale 17. Programming in Python, Perl, Java, or PHP 18. Writing SQL statements 19. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies 20. Data warehousing architecture and plans 21. Informatica, Talend, Pentaho, dimensional data modeling, or schema design 22. Map Reduce or MPP system 23. LAMP stack development and 24. Hadoop, HBase, or Hive **Public Compensation:** $216,571/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 14. 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.) **Preferred Qualifications:** Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Engineer Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems. 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way. 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership. 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts. 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. 10. Influence product and cross-functional teams to identify data opportunities to drive impact. 11. Mentor team members by giving/receiving actionable feedback. **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Mathematics or related field 13. Requires completion of one undergraduate-level course, one research project, or one internship involving the following 14. Features, design, and use-case scenarios across a big data ecosystem 15. Custom ETL design, implementation, and maintenance 16. Object-oriented programming languages 17. Schema design and dimensional data modeling 18. Writing SQL statements 19. Analyzing data to identify deliverables, gaps, and inconsistencies 20. Managing and communicating data warehouse plans to internal clients 21. MapReduce or MPP system 22. Python 23. Working closely with ML engineers, and experimentation at scale 24. ML architectures (deep learning) and ways to improve model performance (feature engineering, hyperparameter optimization, large models) **Public Compensation:** $214,002/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 14. 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) **Preferred Qualifications:** Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond. Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems. Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) Preferred Qualifications * Master's or Ph.D degree in a STEM field Responsibilities * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems * Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve * Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way * Define and manage Service Level Agreements for all data sets in allocated areas of ownership * Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership * Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains * Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources * Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts * Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts * Influence product and cross-functional teams to identify data opportunities to drive impact * Mentor team members by giving/receiving actionable feedback About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir's product that enables autonomous management and continuous deployment of mission critical software, wherever it is. We're transforming the way organizations around the world deploy software, taking SAAS where SAAS has not gone before: from on-premise, to various cloud providers, to disconnected environments (air-gapped), to strict accreditation frameworks, and to the edge. As a Front End Engineer on the Apollo platform you will be responsible for the experience of thousands of users, architecting workflows and interfaces that make sophisticated deployment and monitoring tasks simple. You might spend one day interviewing users to understand their complex workflows and the next brainstorming mockups with Product Designers. Another day, you could tackle building out a workflow, partnering with backend engineers to wire up your code with the APIs, or even building out APIs yourself! We're hiring engineers who are passionate about the whole product development lifecycle - not just fixing bugs or maintaining legacy code - from idea generation, user interviews, planning, design, prototyping, execution, shipping, and iteration. Learn more about Apollo and why it was built!Core Responsibilities Work closely with forward deployed, platform, and customer engineers to understand user workflows, product gaps and identify both short and long-term product capabilities Work with Product Designers to develop the overall look and design of our web application Develop and evolve core libraries and components used to render user interfaces Collaborate with Backend Engineers to define APIs that support frontend functionality Routinely test and debug web applications, manually and through automation, to maintain high quality and performance Champion a long-term tech roadmap to build high-quality app interactions, polished & reusable UX, reduce operational burden, ensure scalability, reduce risk, and strive for step-changes whenever possible Technologies We Use Core Palantir products provide the foundations for our deployments TypeScript and React are central to our front-end development GraphQL is used for data transport Blueprint as a re-useable frontend component library A combination of open-source and internal technologies that suit the problems at hand Industry-standard build tooling, including Gradle, Webpack, GitHub, and CircleCI What We Value Product-centric individuals who have a high sense of ownership and ability to own projects end-to-end Belief in the importance of UI/UX in productionizing infrastructure management systems Clear and concise verbal and written communications Demonstrated ability to work in a fast-paced product development team, with peers and teammates across multiple locations and timezones High engineering standards and a desire to improve both new and existing systems Willingness and enthusiasm to do what it takes to get things done, leading by example and deeply engaging with the team's day-to-day work A focus on impact and an ability to articulate the value your work provides Familiarity with GraphQL and API schema design What We Require 2+ years of front end software engineering experience. Regardless of which frameworks you use or how you learned them, we're looking for people who can write clean, effective code. Proven track record of building impactful user interfaces, understanding how technical decisions impact users. Proficiency with web technologies and front end programming languages such as JavaScript, TypeScript, or similar languages. Proficiency with web technology languages such as React, JavaScript, TypeScript, or equivalent. Demonstrated ability to learn continuously, work independently, and make decisions with minimal supervision in a rapidly changing environment with dynamic objectives and iteration cycles. Salary The estimated salary range for this position is estimated to be $145,000- $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance• Employees are automatically covered by Palantir's basic life, AD&D and disability insurance• Commuter benefits• Relocation assistance• Take what you need paid time off, not accrual based• 2 weeks paid time off built into the end of each year (subject to team and business needs)• 10 paid holidays throughout the calendar year• Supportive leave of absence program including time off for military service and medical events• Paid leave for new parents and subsidized back-up care for all parents• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation• Stipend to help with expenses that come with a new child• Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help.

Come join the Trust & Safety Data Engineering Team in New York as a Staff Data Engineer (Staff Software Engineer role). We are leveraging big data technologies to develop solutions to detect and combat fraudulent activities initiated by external users across all Intuit's products. Some of the technologies we are leveraging include Apache Spark, Athena, Redshift, Kafka, Hive, S3, EMR, AWS, and GCP. We foster an open team environment where we value direct interactions and working code above working in a cave. You will lead the entire product lifecycle for multiple big data solutions that are broad in scope and complexity, applying a full understanding of software engineering methodologies and industry best practices for data products. Work with Industry Experts; Senior, Staff and Principal Engineers, utilize specialized knowledge to develop, and maintain Intuit's data solutions. Responsibilities RESPONSIBILITIES * Own the tech vision and strategy for multiple domains or capabilities * Drive Strategic Impact. Focus on the direct and strategic application of data to deliver measurable business outcomes, even if it means working with imperfect data to capture significant value. * Hands-on development in all phases of the software life cycle. * Build batch and real-time/streaming data pipelines that are able to handle large volumes of data * Design data models * Gather data needs from internal customers like product and analysts and translate those requirements into a working big data solution design. * Partner with product managers, fraud analysts, data scientists, data architects, software engineers, and other data engineers from around the world. * Participate in design and code reviews * Designing/developing ETL jobs across multiple big data platforms and tools including S3, EMR, Hive, Spark SQL, PYSpark. * Rapidly fix bugs and solve problems; effectively remediate defects * Clean, transform and validate data for use in analytics and reporting * Proactively monitor data quality and pipeline performance, troubleshoot and resolve data issues * Collaborate effectively with senior engineers and architects to solve problems spanning their respective areas to deliver end-to-end quality in our technology and customer experience. * Helps to align to overall strategies and reconcile competing priorities across the organization. * Contribute to the design and architecture of projects across the data landscape. * Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies while proactively identifying opportunities to enhance software applications with AI technology * Participate in a scheduled on-call rotation to handle production incidents outside of business hours * Mentor other team members and contribute to the growth of the team * Be available to work in a hybrid mode (3 days in the office and 2 days remote per week) Qualifications * 8+ years of hand-on experience building big data solutions and ETL data pipelines using Apache Spark or similar technologies * BS or MS in Computer Science, Data Engineering or related field * Hands-on experience developing data solutions on the AWS platform (preferred), GCP, or Azure * Experience with Agile Development, SCRUM, and/or Extreme Programming methodologies * Expert in SQL, Python and Linux, and strong working knowledge of XML, JSON, YAML. * Knowledgeable with tools and frameworks Docker, Spark, Jupiter Notebook, Databricks Notebook, Kubernetes, Feature Management Platforms, SageMaker * Advanced experience with scripting language - Python or Shell is a must have * Expert knowledge of software development methodologies and practices * Experience with cloud platforms such as AWS, Azure or GCP - Amazon web services: EC2, S3, EMR, and Redshift or equivalent cloud computing approaches * Strong expertise in Data Warehousing and analytic architecture * Experience working with large data volumes, data visualization * Experience with low-latency NoSQL datastores (such as DynamoDB, HBase, Redshift) is a plus * Experience with building stream-processing applications using Spark Streaming, Flink, etc. is a plus * Hands on experience in AI * Solid communication skills * Demonstrated expertise in Software design and architecture process. * Experience with unit testing and data quality automation checks * Should be results oriented, self-motivated, accountable and work under minimal supervision. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 197k -266.5K

Job DescriptionA World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Data Engineer, you will be a key part of the Product Development Data Applications and Analytics Team (PDAAT) within the Product Development organization. You and the team will work with leadership, cross functionally with product engineers and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will analyze cloud utilization, user metrics, stability KPIs, cost optimizations, and ensure best in class support for our developers and product teams. You will use your analytical experience to architect custom KPIs that fit new business needs, combine disparate data sources and distill trends from internal and external data sources. You will provide cost and usage monitoring, recommendations, and advice to help maintain our analytics infrastructure that serves Palantir's core business and development functions. You will use Palantir's platforms just as Palantir's customers do: creating custom applications that enable specific internal workflows, activating vast troves of data that unlock key insights, and creating views that help drive day-to-day outcomes. Teams throughout Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs. You are a problem solver who loves gathering information from various sources, analyzing and presenting your recommendations to technical teams, business partners, and Palantir leadership. You are a good communicator who thrives in cross-timezone collaborations and individual projects. You feel comfortable working in a data-rich and dynamic environment, putting various pieces of the puzzle together to create a coherent picture. This position will offer an exciting work environment, multi-functional exposure, and a chance to create an impact on Palantir's product development, customer satisfaction and bottom line, by driving analysis, and recommending and implementing processes.Core Responsibilities Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities Monitor pipelines for stability, suggest and enact efficiency initiatives measures Own projects end-to-end while communicating with stakeholders about milestones and performance Create engineering awareness and drive behavior change in the product organization in line with the team's mission and goals Use Palantir's platform to create data analysis and supporting visualizations Use Palantir's platform to create custom applications and executive dashboards Articulate feedback from real-world use for Palantir's software engineering teams to help improve Palantir's overall offerings Become an expert on foundational data that underpins Palantir's software development and internal operations Respond to strategic, tactical, and analytical questions from within Palantir about data and operations What We Value Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved Keen interest in learning new tools and approaches to problems Love for bringing order to ambiguity Experience with Spark is desirable What We Require Active US Security clearance or eligibility and willingness to obtain a US Security clearance Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business or other quantitative fields 1+ years of experience in a data analytical role Expertise and experience in Python and manipulation of data to answer questions Experience with BI tools, SQL queries, and organizing and analyzing data Salary The estimated salary range for this position is estimated to be $110,000 - $170,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance• Employees are automatically covered by Palantir's basic life, AD&D and disability insurance• Commuter benefits• Take what you need paid time off, not accrual based• 2 weeks paid time off built into the end of each year (subject to team and business needs)• 10 paid holidays throughout the calendar year• Supportive leave of absence program including time off for military service and medical events• Paid leave for new parents and subsidized back-up care for all parents• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation• Stipend to help with expenses that come with a new child• Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Data Engineer, you will be a key part of the Product Development Data Applications and Analytics Team (PDAAT) within the Product Development organization. You and the team will work with leadership, cross functionally with product engineers and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will analyze cloud utilization, user metrics, stability KPIs, cost optimizations, and ensure best in class support for our developers and product teams. You will use your analytical experience to architect custom KPIs that fit new business needs, combine disparate data sources and distill trends from internal and external data sources. You will provide cost and usage monitoring, recommendations, and advice to help maintain our analytics infrastructure that serves Palantir's core business and development functions. You will use Palantir's platforms just as Palantir's customers do: creating custom applications that enable specific internal workflows, activating vast troves of data that unlock key insights, and creating views that help drive day-to-day outcomes. Teams throughout Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs. You are a problem solver who loves gathering information from various sources, analyzing and presenting your recommendations to technical teams, business partners, and Palantir leadership. You are a good communicator who thrives in cross-timezone collaborations and individual projects. You feel comfortable working in a data-rich and dynamic environment, putting various pieces of the puzzle together to create a coherent picture. This position will offer an exciting work environment, multi-functional exposure, and a chance to create an impact on Palantir's product development, customer satisfaction and bottom line, by driving analysis, and recommending and implementing processes.Core Responsibilities Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities Monitor pipelines for stability, suggest and enact efficiency initiatives measures Own projects end-to-end while communicating with stakeholders about milestones and performance Create engineering awareness and drive behavior change in the product organization in line with the team's mission and goals Use Palantir's platform to create data analysis and supporting visualizations Use Palantir's platform to create custom applications and executive dashboards Articulate feedback from real-world use for Palantir's software engineering teams to help improve Palantir's overall offerings Become an expert on foundational data that underpins Palantir's software development and internal operations Respond to strategic, tactical, and analytical questions from within Palantir about data and operations What We Value Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved Keen interest in learning new tools and approaches to problems Love for bringing order to ambiguity Experience with Spark is desirable What We Require Active US Security clearance or eligibility and willingness to obtain a US Security clearance Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business or other quantitative fields 1+ years of experience in a data analytical role Expertise and experience in Python and manipulation of data to answer questions Experience with BI tools, SQL queries, and organizing and analyzing data Salary The estimated salary range for this position is estimated to be $110,000 - $170,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance• Employees are automatically covered by Palantir's basic life, AD&D and disability insurance• Commuter benefits• Take what you need paid time off, not accrual based• 2 weeks paid time off built into the end of each year (subject to team and business needs)• 10 paid holidays throughout the calendar year• Supportive leave of absence program including time off for military service and medical events• Paid leave for new parents and subsidized back-up care for all parents• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation• Stipend to help with expenses that come with a new child• Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help.

... Responsibilities ... Qualifications ... Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

... **Responsibilities** ... **Qualifications** ... Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits (************************************************************* ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Data Engineer, you will be a key part of the Product Development Data Applications and Analytics Team (PDAAT) within the Product Development organization. You and the team will work with leadership, cross functionally with product engineers and leaders across the business to address, measure, and evaluate Palantir's internal strategic and tactical performance. You will analyze cloud utilization, user metrics, stability KPIs, cost optimizations, and ensure best in class support for our developers and product teams. You will use your analytical experience to architect custom KPIs that fit new business needs, combine disparate data sources and distill trends from internal and external data sources. You will provide cost and usage monitoring, recommendations, and advice to help maintain our analytics infrastructure that serves Palantir's core business and development functions. You will use Palantir's platforms just as Palantir's customers do: creating custom applications that enable specific internal workflows, activating vast troves of data that unlock key insights, and creating views that help drive day-to-day outcomes. Teams throughout Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs. You are a problem solver who loves gathering information from various sources, analyzing and presenting your recommendations to technical teams, business partners, and Palantir leadership. You are a good communicator who thrives in cross-timezone collaborations and individual projects. You feel comfortable working in a data-rich and dynamic environment, putting various pieces of the puzzle together to create a coherent picture. This position will offer an exciting work environment, multi-functional exposure, and a chance to create an impact on Palantir's product development, customer satisfaction and bottom line, by driving analysis, and recommending and implementing processes.Core Responsibilities Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities Monitor pipelines for stability, suggest and enact efficiency initiatives measures Own projects end-to-end while communicating with stakeholders about milestones and performance Create engineering awareness and drive behavior change in the product organization in line with the team's mission and goals Use Palantir's platform to create data analysis and supporting visualizations Use Palantir's platform to create custom applications and executive dashboards Articulate feedback from real-world use for Palantir's software engineering teams to help improve Palantir's overall offerings Become an expert on foundational data that underpins Palantir's software development and internal operations Respond to strategic, tactical, and analytical questions from within Palantir about data and operations What We Value Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved Keen interest in learning new tools and approaches to problems Love for bringing order to ambiguity Experience with Spark is desirable What We Require Active US Security clearance or eligibility and willingness to obtain a US Security clearance Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business or other quantitative fields 1+ years of experience in a data analytical role Expertise and experience in Python and manipulation of data to answer questions Experience with BI tools, SQL queries, and organizing and analyzing data Salary The estimated salary range for this position is estimated to be $110,000 - $170,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians' lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance• Employees are automatically covered by Palantir's basic life, AD&D and disability insurance• Commuter benefits• Take what you need paid time off, not accrual based• 2 weeks paid time off built into the end of each year (subject to team and business needs)• 10 paid holidays throughout the calendar year• Supportive leave of absence program including time off for military service and medical events• Paid leave for new parents and subsidized back-up care for all parents• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation• Stipend to help with expenses that come with a new child• Employees can enroll in Palantir's 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help.