{"schemaVersion":"jobsearcher.job.v1","id":"7a4b6a2320b1ea40f8109c2c","url":"https://jobsearcher.com/jobs/7a4b6a2320b1ea40f8109c2c","canonicalUrl":"https://jobsearcher.com/jobs/7a4b6a2320b1ea40f8109c2c","title":"Back End Developer","description":"About BearBuild the intelligence layer behind the biggest events in the USA trade show closes on a Thursday. By Friday morning the organizer wants to know who came, who didn't come back this year, which exhibitors met the buyers they paid to meet, and what to do about all of it before the next show sells out. That answer comes from Bear IQ. Bear IQ maps the engagement graph of the events industry. Every registration, session scan, and exhibitor meeting is a signal about who a person is and what they care about. We connect those signals across events and years so organizers understand their audience instead of guessing at it. The data is the engine. The graph is the product.About the RoleWe're hiring a backend engineer to help set the standard for how that engine gets built from here. AI-first, meaning coding agents do the heavy lifting and you decide what to build, check the work, and keep the context those tools depend on sharp. You'll report directly to the CEO.ResponsibilitiesThe .NET backend: an ASP.NET Core Web API plus Azure Durable Functions that run the ingestion pipeline, metric calculation, enrichment, exports, and the AI Analyst's data botsIntegrations with registration and event-tech source systemsSearch and indexing over audience data in ElasticThe Fabric migration as it moves from roadmap to buildHow our backend team works with AI: what goes in the context files, what the tools are trusted to do, how we measure whether it's workingQualificationsDemonstrated experience with C# and .NET in production, including ASP.NET Core and Azure FunctionsAzure day to day: storage, queues, SQL, and the services around themElastic (or OpenSearch) in productionModern data lake and lakehouse patterns. Microsoft Fabric preferred, Databricks and Snowflake welcomeBeing AI native. Cursor, Claude Code, Copilot, or similar are how you work, not a tool you tried once, and you have opinions about when to trust themData as the product: pipelines, ETL, data quality, metrics that customers make real decisions onRequired SkillsYou know the events industry. If you've worked at an organizer, a registration platform, or an event tech company, that's a real edge here. Tell us.You've shipped a data product, not a service that happens to touch dataPreferred SkillsFace-to-face connection is the one thing that has never been properly measured. Bear exists to change that, and the engineer in this seat is building the measurement. Success here means the graph gets richer, the answers get faster, and organizers trust the numbers enough to act on them.What ElseYour local holidays off, wherever you areGenerous leave planFlexible hoursTechnology stipendHow We HireThree steps. First, a technical conversation to understand fit, where you want to go, and whether we're aligned on how the work should be done. Second, a deeper technical discussion where we get into the systems, the stack, and how you work with AI. Third, a conversation with the founders. We respect your time and we move quickly.Sound like you? We're excited to share more and learn more together.","company":"Bear Analytics","rawCompany":"bear analytics","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-12T08:30:08.538Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Back End Developer","description":"About BearBuild the intelligence layer behind the biggest events in the USA trade show closes on a Thursday. By Friday morning the organizer wants to know who came, who didn't come back this year, which exhibitors met the buyers they paid to meet, and what to do about all of it before the next show sells out. That answer comes from Bear IQ. Bear IQ maps the engagement graph of the events industry. Every registration, session scan, and exhibitor meeting is a signal about who a person is and what they care about. We connect those signals across events and years so organizers understand their audience instead of guessing at it. The data is the engine. The graph is the product.About the RoleWe're hiring a backend engineer to help set the standard for how that engine gets built from here. AI-first, meaning coding agents do the heavy lifting and you decide what to build, check the work, and keep the context those tools depend on sharp. You'll report directly to the CEO.ResponsibilitiesThe .NET backend: an ASP.NET Core Web API plus Azure Durable Functions that run the ingestion pipeline, metric calculation, enrichment, exports, and the AI Analyst's data botsIntegrations with registration and event-tech source systemsSearch and indexing over audience data in ElasticThe Fabric migration as it moves from roadmap to buildHow our backend team works with AI: what goes in the context files, what the tools are trusted to do, how we measure whether it's workingQualificationsDemonstrated experience with C# and .NET in production, including ASP.NET Core and Azure FunctionsAzure day to day: storage, queues, SQL, and the services around themElastic (or OpenSearch) in productionModern data lake and lakehouse patterns. Microsoft Fabric preferred, Databricks and Snowflake welcomeBeing AI native. Cursor, Claude Code, Copilot, or similar are how you work, not a tool you tried once, and you have opinions about when to trust themData as the product: pipelines, ETL, data quality, metrics that customers make real decisions onRequired SkillsYou know the events industry. If you've worked at an organizer, a registration platform, or an event tech company, that's a real edge here. Tell us.You've shipped a data product, not a service that happens to touch dataPreferred SkillsFace-to-face connection is the one thing that has never been properly measured. Bear exists to change that, and the engineer in this seat is building the measurement. Success here means the graph gets richer, the answers get faster, and organizers trust the numbers enough to act on them.What ElseYour local holidays off, wherever you areGenerous leave planFlexible hoursTechnology stipendHow We HireThree steps. First, a technical conversation to understand fit, where you want to go, and whether we're aligned on how the work should be done. Second, a deeper technical discussion where we get into the systems, the stack, and how you work with AI. Third, a conversation with the founders. We respect your time and we move quickly.Sound like you? We're excited to share more and learn more together.","datePosted":"2026-09-12T08:30:08.538Z","dateModified":"2026-09-12T08:30:08.538Z","hiringOrganization":{"@type":"Organization","name":"Bear Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7a4b6a2320b1ea40f8109c2c"},"url":"https://jobsearcher.com/jobs/7a4b6a2320b1ea40f8109c2c"}}