{"id":768843,"url":"https://alion.io/job/sweedpos-data-engineer","title":"Data Engineer","company":{"id":687769,"name":"Sweed","domain":"sweedpos.com","url":"https://alion.io/company/sweedpos","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"CET","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":170000,"period":"year","method":"global_role_seniority_cell","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ClickHouse","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false},{"name":"ArgoCD","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true},{"name":"Terragrunt","optional":true}],"status":"live","first_seen_at":"2026-09-11T15:41:18Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-28T22:03:53Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Hi there!\nWe're SweedPos, a product-driven startup building an all-in-one cannabis retail platform. We’re on the lookout for a Data Engineer to join us remotely and help us scale and optimize our platform.\n About Us\nAt Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution-eliminating the need for multiple third-party tools.\nWe believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving real business growth.\nWhy We’re Doing This\nAt Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.\nThe industry is evolving rapidly, and we’re here to drive that transformation-making cannabis retail more efficient, accessible, and customer-friendly.\n Where We Are Now\nWe’ve been on the market for 7 years, continuously growing and refining our product.\nOur focus is on earning customer trust, which means constantly improving our delivery processes and rolling out new features. At the same time, we navigate the complex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.\nTeam Structure\nOur total team size is over 200 people:\nThe development team is distributed globally and organized into cross-functional product teams. These teams typically consist of 8-12 members, including front-end and back-end developers, QA specialists, and analysts. \nEach team is led by a Team Lead and a Product Owner, ensuring effective collaboration and clear direction.\nMeanwhile, ourCEO, account managers, and customer success team are based in the USA, working closely with us to align product development with business and user needs.\nWhy This Role Matters\nOur customers - cannabis retailers - rely on accurate, timely, and trustworthy data to run their business. From sales analytics to inventory tracking and operational reporting, our data pipelines are mission-critical.\nAs a Data Engineer, you’ll be at the center of our data ecosystem: ensuring that data flows from our product, integrations, and third-party systems into our analytics and operational platforms with speed, accuracy, and reliability. Your work will enable analysts, product teams, and leadership to make better decisions - and will directly impact the features our customers use every day.\nWhat to do in the project?\nDesign, build, and maintain data pipelines using Airflow, and Trino to ingest and process data from multiple systems (databases, APIs, event streams, 3rd-party integrations).\n\nImprove observability - implement monitoring, validation, and alerting for pipelines to ensure accuracy and consistency.\n\nDevelop and maintain the platform - deploy, monitor and maintain services in our aws cloud\n\nCollaborate with cross-functional teams - work closely with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver them effectively.\n\nOptimize performance and cost - fine-tune queries, pipelines, and storage for speed and efficiency.\n\nWhat professional skills are important to us?\n3+ years of experience in data engineering or a related field.\n\nStrong proficiency in SQL and Python.\n\nHands-on experience with:\n\nAirflow for workflow management\n\nOLAP databases, distributed query engines and data processing frameworks (clickhouse, trino, spark etc) for analytical workloads\n\nSolid understanding of data modeling and data engineering best practices\n\nFamiliarity with event-based data architectures and streaming (spark, flink)\n\nBonus points for:\n\nIaC: terraform, terragrunt for cloud infrastructure deployments\n\nIaC: helm, kustomize, argocd for k8s deployments\n\nExperience with building and owning cloud infrastructure\n\nWhat Else Matters?\nProactivity - We love team members who take initiative and provide feedback\n\nCritical thinking - We value problem-solvers who think beyond just writing code\n\nAdaptability - Our industry is evolving fast, and we need people who thrive in change\n\nWhat We Offer\nSalary in USD (B2B contract with the US company)\n\n100% remote - We’re a remote-first company, no offices needed!\n\nFlexible working hours - Core team time: 10:00-16:00 CET (flexible per team)\n\n20 paid vacation days per year\n\n12 holidays per year\n\n3 sick leave days\n\nMedical insurance after probation\n\nEquipment reimbursement (laptops, monitors, etc.)\n\nHiring Process\nRecruiter Call (45 minutes) - Includes a short English check\n\nLive-coding session (1 hour)\n\nSystem Design (1 hour)\n\nFinal Interview (up to 45 minutes)","description_format":"text","description_chars":4783,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Health insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["POS Systems","Cannabis & CBD"],"lifecycle":[{"event":"open","at":"2026-09-11T20:56:33Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.939,"p_room":0.55,"age_days":46,"expected_fill_days":42,"reasons":["conf:1","urgency","velocity","win:tail"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/sweedpos-data-engineer","json_url":"https://alion.io/job/sweedpos-data-engineer.json","meta":{"generated_at":"2026-10-28T22:19:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30193,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":687769},"rest":"https://alion.io/mcp/rest/get_company?id=687769"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsweedpos-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsweedpos-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsweedpos-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sweedpos-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsweedpos-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":768843}},{"tool":"search_jobs","arguments":{"company":"sweedpos.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":768843},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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