{"id":65961,"url":"https://alion.io/job/backstory-senior-software-engineer-data-modeling-europe","title":"Senior Software Engineer — Data Modeling (Europe)","company":{"id":33400,"name":"Backstory","domain":"backstory.ai","url":"https://alion.io/company/backstory","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":121,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":94000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":233},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache HTTP Server","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Hadoop","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Databricks","optional":true},{"name":"ETL/ELT","optional":true},{"name":"NLP","optional":true},{"name":"OpenAI","optional":true}],"status":"closed","first_seen_at":"2026-06-24T12:53:43Z","employer_posted_date":"2026-06-24","last_verified_at":"2026-10-26T11:46:23Z","board_verified":false,"closed_at":"2026-10-26T11:46:23Z","days_open":123,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":123},"description":"As a Senior Software Engineer on the Data Modeling team, you will help us complete the biggest re-architecturing project in Backstory history - Unified Data Platform (UDP) - that unifies all Backstory products under one architecture and improves the data freshness. You will build and maintain the services, REST APIs, databases, and big data jobs that provide Backstory’s insights.\nWorking with the larger Engineering and Product teams, you will take “activity” and “CRM objects” data provided by other teams and make it available for consumption to end users, building higher-level customizable insights that power not only our web application, but also use cases like Account 360, Opp 360, search functionality, and our new Generative AI features.\nWhat you will do:\nDesign, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.\nImplement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.\nDevelop and evolve a query engine capable of answering complex, cross-deal/account questions and delivering actionable insights for sales managers and executives.\nScale data processing and insights generation pipelines to handle growing volumes of activity data (emails, meetings, transcripts, CRM objects) while managing infrastructure costs.\nCollaborate with Engineering and Product teams to translate business and customer needs into robust, well-documented technical solutions.\nFollow and promote software development best practices, delivering clean, maintainable, and well-monitored code.\nBuild internal tooling to enable customer support teams to investigate and resolve support requests in a self-service manner.\nEnsure high-quality alerting, dashboards, tracing, and runbooks are in place for all production services.\nWhat you will bring:\n5+ years of professional experience building backend systems in an enterprise environment\n2+ years of experience programming in Python or Scala\nExperience with distributed systems and service-oriented architecture (SOA)\nExperience with large-scale data processing frameworks (Spark, Hive, Hadoop, MapReduce, or similar)\nExperience with stream processing technologies such as Kafka, Apache Samza, or Apache Storm\nExperience with Elasticsearch is a plus\nExperience with LLMs or NLP is a plus\nFamiliarity with analytical databases and ETL pipeline design\nStrong analytical and problem-solving skills with a track record of delivering elegant, practical solutions\nExperience taking ownership in an unfamiliar or legacy codebase and incrementally improving it\nStrong inclination toward automation and reducing manual operational toil\nAbout Backstory.ai:\nBackstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. The platform operates over trillions of sales activities, millions of deals, and more than 160 million business contacts, giving customers a unified view of the signals that drive revenue. Companies such as Nvidia, OpenAI, AMD, Red Hat, and Databricks rely on Backstory to surface risks, identify opportunities, and understand what's happening across their business.\nBackstory is building AI systems that reason over massive amounts of enterprise data to help business leaders understand what's happening in their business and what to do next. We work at the intersection of large language models, retrieval, evaluation, distributed data systems, and product design, turning billions of signals from across the enterprise into insights people can trust. The underlying challenges span reasoning, search, ranking, data quality, knowledge representation, and operating AI systems against continuously evolving real-world information.\nWe value ownership highly - the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at Backstory, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. 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