{"id":3981284,"url":"https://alion.io/job/v4c-data-engineer-mexico","title":"Data Engineer Mexico","company":{"id":4416653,"name":"v4c","domain":"v4c.ai","url":"https://alion.io/company/v4c","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Scikit-learn","optional":true}],"status":"live","first_seen_at":"2026-11-09T19:49:55Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:49:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role Overview\nWe are seeking a hands-on Data Engineer to join our team, focusing on building the\nrobust foundations required for modern analytics and AI. In this role, you will bridge\nthe gap between raw data and production-ready AI solutions, architecting scalable\npipelines that power machine learning models and business intelligence. You will be\nresponsible for the engineering discipline that ensures data reliability, performance, and\nsecurity within the Databricks ecosystem.\nKey Responsibilities\nAI/ML Pipeline Support: Architect, build, and maintain scalable data pipelines\nspecifically designed to support AI/ML workflows, including feature\nengineering and model training datasets.\nDesign and implement robust data pipelines, data lakes, and data warehousing\nsolutions.\nPartner with data scientists and analysts to deploy machine learning models and\nanalytics solutions on Databricks.\nEnhance Databricks cluster performance, ensuring cost-effectiveness and efficient\nresource utilization.\nImplement Databricks security features, enforce data governance, and maintain\ncompliance with industry standards.\nMLOps Integration: Collaborate with Data Scientists to deploy and\noperationalize machine learning models into production environments securely.\nContribute to the technical direction and best practices of data engineering\ninitiatives.\nStay current with Databricks innovations, best practices, and industry trends,\nand share knowledge across the team.\nRequired Skills & Qualifications\nTotal Experience: 1-4 years in data engineering or related fields.\nDatabricks Expertise: Solid experience with Databricks, focusing on platform\nengineering, data engineering, and analytics.\nTechnical Skills: Proficiency in Python, Scala, or Java; strong experience with\nDatabricks APIs, Apache Spark, and Delta Lake.\nData Engineering Background: Solid experience in data warehousing, ETL\nprocesses, and data governance frameworks.\nAI/ML Exposure: Practical experience supporting AI/ML lifecycles, including\nfamiliarity with ML frameworks (e.g., TensorFlow, PyTorch) or MLOps practices.\nCollaboration & Ownership: Proven ability to work independently, take\nownership of projects, and collaborate effectively with a team.\nCommunication: Excellent interpersonal and communication skills for effective\ncollaboration with stakeholders.\nGood to Have\nCloud Experience: Hands-on experience with AWS, Azure, or GCP.\nCertifications: Databricks Certified Professional or equivalent.\nMachine Learning: Familiarity with ML concepts and popular libraries (e.g.,\nTensorFlow, PyTorch, Scikit-learn).\nWhat we are offering\nBest-in-industry learning and growth opportunities.\nComprehensive Health and wellness benefits, including medical insurance for\nself and family.\nEmployee rewards program and paid parental leave.\nFlexible schedule and remote working benefits.","description_format":"text","description_chars":2842,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Growth opportunities","Health insurance","Parental leave"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-11-09T19:49:55Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:2","win:early"],"computed_at":"2026-11-09T21:58:25Z"},"pay":null,"html_url":"https://alion.io/job/v4c-data-engineer-mexico","json_url":"https://alion.io/job/v4c-data-engineer-mexico.json","meta":{"generated_at":"2026-11-09T21:58:25Z","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":10954,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4416653},"rest":"https://alion.io/mcp/rest/get_company?id=4416653"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fv4c-data-engineer-mexico"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fv4c-data-engineer-mexico"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fv4c-data-engineer-mexico"},{"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/v4c-data-engineer-mexico\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fv4c-data-engineer-mexico"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3981284}},{"tool":"search_jobs","arguments":{"company":"v4c.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3981284},"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); 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