{"id":2849803,"url":"https://alion.io/job/cimpress-senior-data-engineer","title":"Senior Data Engineer","company":{"id":176176,"name":"Cimpress","domain":"cimpress.com","url":"https://alion.io/company/cimpress","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":193000,"period":"year","method":"global_role_seniority_cell","sample_n":2491},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Modularization","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T02:56:42Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Senior Data Engineer\nWho we are\nCimpress\nLed by founder and CEO Robert Keane, Cimpress invests in and helps build customer-focused, entrepreneurial mass customization businesses. Through the personalized physical (and digital) products these companies create,we empower over 17 million global customers to make an impression. Last year, Cimpress generated $3.5B in revenue through customized print products, signage, apparel, packaging and more. The Cimpress family includes a dynamic, international group of businesses and central teams, all working to solve problems, build businesses, innovate and improve.\nPrintdeal\nWe are the B2B market leader in online printing in the Netherlands and Belgium. But we go beyond just printing. We are an e-commerce organization full of professionals with a love for paper, pixels, and smart solutions. Every day, we work together on a company that not only\nlooks ahead and continuously innovates, but also contributes. Responsibly, ambitiously, and with pleasure.\nAt Drukwerkdeal, we offer the broadest, deepest, and most relevant range of online printing. We are there for the B2B customer, communicate in a targeted manner, and build a strong brand that is both reliable and distinctive. How do we achieve this? With four core values that guide us every day.\nKey Responsibilities\n4+ years of experience handling large data volumes and orchestrating and monitoring automated Batch & Near Real-Time ETL/data pipelines using CI/CD and Cloud Technologies, with preferred expertise in DBT or DBT Cloud.\nStrong programming skills in Python and SQL.\nSolid experience with MPP Data Warehouse systems such as Snowflake or Amazon Redshift, along with cloud platforms including AWS (Preferred), Azure, or GCP.\nExpertise in Data Modelling and Data Warehousing best practices, with a strong ability to adopt development best practices such as modularization, testing, and refactoring.\nExperience with Business Intelligence and reporting tools such as Looker is an added advantage.\nHands-on experience with Machine Learning (ML) and MLOps practices, including model training, versioning, deployment, monitoring, and lifecycle management using tools like MLflow, SageMaker, or Vertex AI.\nAbility to leverage AI tools in day-to-day data engineering tasks, such as using GitHub Copilot or Claude for code generation, debugging, query optimization, and pipeline development to improve productivity and efficiency.\nExposure to Generative AI tools and frameworks (e.g., LangGraph, LangChain, OpenAI APIs).\nCuriosity to explore and implement evolving data engineering and Generative AI technologies.\nUnderstanding of modern practices like DataOps, MLOps or equivalent experience.\nStrong problem-solving skills with a solid understanding of data structures,\nalgorithms, and the ability to thrive in ambiguous environments with minimal oversight.\nWhy You'll Love Working Here:\nBeing at Cimpress means that you don’t see work as just a building, a desk or a manufacturing floor. You see it as a chance to take a step forward in your career journey - and your life. We strive to give you everything you need to learn, grow, and succeed. Through innovation,\ncollaboration, and perpetual exposure to what’s next, we’re always pushing boundaries and broadening our horizons. We embrace the chance to operate outside of our comfort zone to discover what we’re capable of. Some might call that a challenge; we just call it another great\nday at work.\nRemote-First:\nIn 2020, Cimpress adopted a Remote-First operating model and culture. We heard from our team members that having the freedom, autonomy and trust in each other to work from home and the ability to operate when they are most productive, empowers them to be their best. We also provides collaboration spaces for team members to work physically together when it’s safe to do so and when in-person collaboration will deliver the best results. Currently we are enabled to hire remote team members in over 30 US States as well as several countries in Europe, including Spain, Germany, UK, Czech Republic, the Netherlands, and Switzerland.\nEqual Opportunity Employer:\nCimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation,\ngender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. 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