{"id":800824,"url":"https://alion.io/job/particle41-data-engineer-tableau","title":"Data Engineer (Tableau)","company":{"id":686023,"name":"Particle41","domain":"particle41.com","url":"https://alion.io/company/particle41-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":45,"open_postings":24,"ghost_share":0.917,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Argentina"],"countries":["AR"],"hiring_countries":["AR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":89000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MySQL","optional":false},{"name":"Plotly","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Tokenization","optional":false}],"status":"live","first_seen_at":"2026-06-18T12:19:31Z","employer_posted_date":"2026-06-26","last_verified_at":"2026-10-31T02:03:10Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":132},"description":"Data Engineer\nParticle41 is seeking a talented Data Engineer to join our team. You will design, build, and maintain data pipelines and infrastructure, support client-facing data visualization, and contribute to AI-assisted data workflows. You will work across the full data lifecycle - from raw ingestion to polished, decision-ready output - in collaboration with cross-functional teams.\nIn This Role You Will\nSoftware Development\n Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from diverse sources.\n Build and optimize data storage solutions - data lakes and data warehouses - for efficient retrieval and processing.\n Integrate structured and unstructured data from internal and external systems into a unified view for analysis.\n Ensure data accuracy, consistency, and completeness through validation, cleansing, and transformation.\n Maintain clear documentation for data processes, tools, and systems.\nData Visualization\n Build and maintain Tableau dashboards and reports that translate complex datasets into clear, decision-ready visuals.\n Design data models and extracts optimized for Tableau performance, including live connections and published data sources.\n Apply data visualization best practices - chart selection, layout, color, and interactivity - to produce client-ready output.\n Partner with stakeholders to understand reporting needs and translate them into visual solutions.\n Support ad hoc analysis using Tableau, Python-based charting (matplotlib, seaborn, plotly), or similar tools.\nAI and Data Support\n Support AI/ML workflows by building and maintaining the data pipelines that feed model training, inference, and evaluation.\n Assist with data preparation for LLM and machine learning projects, including feature engineering, tokenization pipelines, and vector store integration.\n Help teams adopt AI-assisted data tooling - copilots, intelligent search, automated reporting - by ensuring clean, well-structured data is available upstream.\n Contribute to prompt engineering and evaluation frameworks where data context is a key input.\nRequirements Gathering and Analysis\n Work with product managers and stakeholders to gather requirements and translate them into technical solutions.\n Provide technical input during requirements sessions to align data capabilities with business needs.\nAgile Development\n Participate in sprint planning, stand-ups, and sprint reviews.\n Deliver solutions on time and within scope. Adapt when priorities shift.\nTesting and Debugging\n Write unit and integration tests to validate pipeline reliability and data accuracy.\n Identify and resolve defects, performance bottlenecks, and data quality issues.\nContinuous Learning\n Stay current with cloud platforms (AWS, Azure, GCP) and emerging data engineering tools.\nPropose solutions to improve performance, security, and scalability.\nSkills and Experience We Value\n Bachelor’s degree in Computer Science, Engineering, or a related field.\n 3+ years of experience as a Data Engineer.\n Strong Python proficiency.\n Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.\n Hands-on experience with Tableau - dashboard development, data source management, and performance optimization.\n Familiarity with data warehousing and lakehouse principles; experience with Databricks, Spark, PySpark, and pandas.\n Experience building or supporting ML/AI data pipelines, including feature stores, vector databases, or model serving infrastructure.\n Familiarity with at least one cloud data stack (Azure, AWS, or GCP).\n Working knowledge of the ELK stack, Redis, and distributed task queues.\n Proficiency with Python libraries including Flask, scikit-learn, requests, pytest, and logging utilities.\n Comfortable working in Linux and writing shell scripts.\n Familiarity with Git and collaborative development workflows.\n Strong communication skills and the ability to work across technical and non-technical teams.\nAbout Particle41\nOur core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do - ELITE.\n E - Empowering: Enabling individuals to reach their full potential\n L - Leadership: Taking initiative and guiding each other toward success\n I - Innovation: Embracing creativity and new ideas to stay ahead\n T - Teamwork: Collaborating with empathy to achieve common goals\n E - Excellence: Striving for the highest quality in everything we do\nParticle41 welcomes individuals from all backgrounds committed to our mission and values. We provide equal employment opportunities to all employees and applicants. Hiring and employment decisions are based on merit and qualifications - without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws.\nFor assistance during the application or interview process, contact us at ","description_format":"text","description_chars":5040,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-12T07:41:27Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.242,"p_room":0.28,"age_days":133,"expected_fill_days":35,"reasons":["conf:1","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/particle41-data-engineer-tableau","json_url":"https://alion.io/job/particle41-data-engineer-tableau.json","meta":{"generated_at":"2026-10-31T04:37:16Z","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":6325,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":686023},"rest":"https://alion.io/mcp/rest/get_company?id=686023"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fparticle41-data-engineer-tableau"},{"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%2Fparticle41-data-engineer-tableau"},{"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%2Fparticle41-data-engineer-tableau"},{"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/particle41-data-engineer-tableau\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fparticle41-data-engineer-tableau"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":800824}},{"tool":"search_jobs","arguments":{"company":"particle41.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":800824},"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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