{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/streamlit"},"x-facet":{"type":"skill","slug":"streamlit","display":"Streamlit","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_542096f5-82b"},"title":"Business Intelligence Manager","description":"<p>As a Business Intelligence Manager, you will play a critical role in building secure, interactive data and AI applications hosted natively on the Databricks platform. You will design, build, and maintain scalable data web applications, AI chatbots, and custom operational interfaces using frameworks like Streamlit, React, and FastAPI. By leveraging Databricks Apps&#39; serverless infrastructure, you will eliminate the need for external hosting and empower business users to make informed decisions by bridging the gap between raw data and solutions using your engineering prowess, Databricks apps, Databricks SQL, Lakebase and AgentBricks.</p>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Build: You will design and develop robust frontend interfaces and API backends (e.g., FastAPI routing user queries to model-serving endpoints). You will build solutions ranging from data-rich dashboards to enterprise chat solutions powered by the Mosaic AI Agent Framework.</li>\n</ul>\n<ul>\n<li>Architect: You will design secure and scalable application architectures that can suffice GTM requirements on building custom SaaS applications.</li>\n</ul>\n<ul>\n<li>Scale: You will create scalable applications that seamlessly connect to Databricks SQL via the Statement Execution API or Databricks SDK. You will establish CI/CD pipelines using Declarative Automation Bundles (DABs) to automate deployment across development, staging, and production workspaces.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>You have 5+ years of experience working as a Software Engineer, Data App Developer, or Full-Stack Engineer building interactive web applications.</li>\n</ul>\n<ul>\n<li>You are proficient in Python, DBSQL and/or Node.js. Experience with frameworks like Streamlit, Dash, Flask, FastAPI, React, or Express is required.</li>\n</ul>\n<ul>\n<li>You know the Databricks ecosystem. Familiarity with Unity Catalog, Databricks SQL, Databricks SDK for Python, and Model Serving is highly preferred.</li>\n</ul>\n<ul>\n<li>You have built for scale and security. Experience with CI/CD tools, Infrastructure as Code (specifically Databricks Asset Bundles), and implementing secure OAuth flows.</li>\n</ul>\n<ul>\n<li>You are passionate about applying AI. Experience integrating LLMs or Mosaic AI Agent Frameworks into application backends to deliver intelligent chat and RAG solutions.</li>\n</ul>\n<ul>\n<li>You excel in a collaborative environment. You can translate stakeholder requirements into intuitive user interfaces, working through dependencies and troubleshooting deployment errors or telemetry logs.</li>\n</ul>\n<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_542096f5-82b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8501030002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$158,200-$217,450 USD","x-skills-required":["Python","DBSQL","Node.js","Streamlit","React","FastAPI","Unity Catalog","Databricks SQL","Databricks SDK for Python","Model Serving"],"x-skills-preferred":["CI/CD tools","Infrastructure as Code","OAuth flows","LLMs","Mosaic AI Agent Frameworks"],"datePosted":"2026-04-18T15:43:21.206Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, DBSQL, Node.js, Streamlit, React, FastAPI, Unity Catalog, Databricks SQL, Databricks SDK for Python, Model Serving, CI/CD tools, Infrastructure as Code, OAuth flows, LLMs, Mosaic AI Agent Frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":158200,"maxValue":217450,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1d4c773-5c5"},"title":"Analytics Engineer, Finance","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.</p>\n<p><strong>About the Role</strong></p>\n<p>As an Analytics Engineer, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.</p>\n<p>In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.</p>\n<p>We are looking for a seasoned engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. As a generalist “fixer”, you may be deployed across several different Finance domains (e.g. Tax datamart, ERP migration, Procurement automation). For this role we need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you&#39;re energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will <strong>not</strong> be responsible for training ML models and neither would we describe this role as ‘product analytics’.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Understand the data needs of Finance teams, including Revenue, Tax, Procurement, Compute &amp; Infrastructure Accounting, Strategic Finance, and translate that scope into technical requirements</li>\n</ul>\n<ul>\n<li>Facilitate the development of data products and tools to for stakeholders to self-service and enable analytics to scale across the company</li>\n</ul>\n<ul>\n<li>Lead dimensional design - define, own, and maintain business facing data marts</li>\n</ul>\n<ul>\n<li>Be a cross-functional champion at upholding high data integrity standards and SLAs for the timely delivery of data</li>\n</ul>\n<ul>\n<li>Build and maintain insightful and reliable dashboards to track both operational and financial Metrics for the Executive team</li>\n</ul>\n<ul>\n<li>Contribute to the future roadmap of the Finance team from a data systems perspective</li>\n</ul>\n<ul>\n<li>Grow to be an expert in Finance Data and OpenAI’s data architecture</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>7+ years of experience as an Analytics Engineer or in a similar role (Data Analyst or Data Engineer) with a proven track record in shipping canonical datasets</li>\n</ul>\n<ul>\n<li>Empathy towards non-developer stakeholders and their day-to-day pain points</li>\n</ul>\n<ul>\n<li>Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or R</li>\n</ul>\n<ul>\n<li>Familiarity with managing distributed data stores (e.g. S3, Trino, Hive, Spark), and experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster)</li>\n</ul>\n<ul>\n<li>Experience in writing unit tests to validate data products and version control (e.g. GitHub, Stash)</li>\n</ul>\n<ul>\n<li>Expert at creating compelling data visualizations with dashboarding tools (e.g. Tableau, Looker or similar)</li>\n</ul>\n<ul>\n<li>Excellent communication skills and ability to present data-driven narratives in both verbal and written form to a non-technical audience</li>\n</ul>\n<ul>\n<li>Experience solving ambiguous problem statements in an early stage environment</li>\n</ul>\n<p><strong>You could be an especially great fit if you have:</strong></p>\n<ul>\n<li>Prior experience leading the development of an internal production tool, serving hundreds of cross-functional customers such as Billing Operations, Deal Desk or Go-to-Market teams</li>\n</ul>\n<ul>\n<li>Some frontend experience with React, TypeScript, Retool, Streamlit, or building web apps</li>\n</ul>\n<ul>\n<li>Good understanding of Spark and ability to write, debug, and optimize Spark jobs</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b1d4c773-5c5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/7cd50a19-65f2-4a52-89a2-512130e58c5c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$198K – $260K • Offers Equity","x-skills-required":["SQL","Python","R","S3","Trino","Hive","Spark","Airflow","Dagster","GitHub","Stash","Tableau","Looker"],"x-skills-preferred":["React","TypeScript","ReTool","Streamlit","Web development"],"datePosted":"2026-03-08T22:16:37.388Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, R, S3, Trino, Hive, Spark, Airflow, Dagster, GitHub, Stash, Tableau, Looker, React, TypeScript, ReTool, Streamlit, Web development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":198000,"maxValue":260000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_488a9635-1bc"},"title":"Analytics Engineer","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$234K – $335K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Role</strong></p>\n<p>As an early member of our Data team within the Go-To-Market (GTM) organization, you will play a pivotal role in building a data-centric culture, enhancing decision-making processes, and driving strategic initiatives through analytics. This role involves a variety of projects aimed at developing canonical data sources and dashboards that enable the business to derive trustworthy, actionable insights. Most importantly, you should expect to be a core member of the GTM team, helping to bring our technology to a wide range of customers and supporting our self serve and sales led motions.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Embed with the GTM team as a trusted partner, identifying high-impact analytics problems and pioneering data-driven solutions.</li>\n</ul>\n<ul>\n<li>Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics</li>\n</ul>\n<ul>\n<li>Manage cross-functional data projects about revenue, pricing, sales, product, marketing, growth, and other topics core to the business.</li>\n</ul>\n<ul>\n<li>Create scalable pipelines for data collection, cleaning, and analysis from multiple sources, and manage the lifecycle of metrics and models from prototyping to production.</li>\n</ul>\n<ul>\n<li>Develop and refine tools such as dashboards and reports that empower the team to extract and analyze data independently.</li>\n</ul>\n<ul>\n<li>Conduct analyses to uncover insights and inform key decisions.</li>\n</ul>\n<ul>\n<li>Use presentations, memos, and tools to communicate complex data insights clearly and persuasively across the organization.</li>\n</ul>\n<p><strong>You might thrive in this role if you are/have:</strong></p>\n<ul>\n<li>Over 10 years of experience in a relevant Data role within dynamic, outcome-driven organizations.</li>\n</ul>\n<ul>\n<li>Highly skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows.</li>\n</ul>\n<ul>\n<li>Proficient in quantitative programming languages, Python preferred.</li>\n</ul>\n<ul>\n<li>Experienced in using business intelligence tools, such as Tableau and Looker, to communicate insights and enable self-serve.</li>\n</ul>\n<ul>\n<li>Familiar with advanced custom visualizations, such as streamlit and plotly dash.</li>\n</ul>\n<ul>\n<li>Adept at crafting clear data stories using decks, memos, and dashboards to drive decision-making at every level.</li>\n</ul>\n<ul>\n<li>Best-in-class attention to detail and unwavering commitment to accuracy.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to build effective partnerships across diverse teams and influence decision making with data.</li>\n</ul>\n<ul>\n<li>Proven track record of delivering significant business impact, with a solid track record in Sales, Marketing, Finance, Growth, Support, or other GTM-related areas preferred.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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