{"id":1120895,"url":"https://alion.io/job/cit-senior-data-engineer-analytics-brazil","title":"Senior Data Developer (Analytics), Brazil","company":{"id":957,"name":"CI&T","domain":"ciandt.com","url":"https://alion.io/company/ciandt","size_band":"5000+","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Lever","truth_index":{"grade":"B","score":83,"open_postings":13,"ghost_share":0,"stale_share":0.769,"repost_share":0.154,"time_to_fill_p50_days":18,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":112000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"BigQuery","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-09-22T16:47:40Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-24T00:03:38Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a highly motivated Senior Data Developer (Analytics) who serves as a bridge between business and technology - someone who not only masters the technical stack but also brings strategic vision, deep understanding of business logic, and a proactive approach to solution design.\nThis professional will own the complete lifecycle of data products - from ingestion and modeling through final delivery - ensuring that data is structured, validated, and ready for consumption in AI and analytics environments. We need someone who communicates confidently with business stakeholders (both technical and non-technical), deeply understands the requirements behind requests, and translates them into robust, scalable technical solutions.\nResponsibilities:\nBusiness Translation & Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms.\nEnd-to-End Product Ownership: Take full responsibility for the data products you build - from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring.\nData Quality Assurance & Validation: Implement and maintain rigorous validation processes, automated testing, and quality checks; act as guardian of data accuracy and integrity, ensuring metrics and KPIs accurately reflect business reality.\nData Modeling & Transformation: Design and implement data transformation layers that pre-aggregate business information, apply consistent business rules, and deliver datasets ready for consumption in dashboards and AI applications.\nAI Enablement & Data Structuring: Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities.\nFull-Stack Data Development: Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions.\nProactive Problem Solving: Go beyond fulfilling requirements - proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary.\nAgile & High-Quality Delivery: Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards.\nStakeholder Communication: Articulate technical concepts clearly to non-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions.\nRequirements:\nProven experience in a Data Engineering or Analytics Engineering role at senior level\nAdvanced proficiency in SQL and Python for data analysis, transformation, and validation\nSolid experience in data modeling and data warehouse design\nHands-on experience working with BigQuery (or other cloud-based data warehouse platform)\nDemonstrated ability to understand complex business logic and validate results from a business perspective, not just technical\nStrong sense of ownership and proactive mindset - a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act\nExperience specifying and preparing data requirements for AI or machine learning applications\nAdvanced/fluent English (reading, writing, and conversation) - constant communication with international stakeholders is required\nTrack record of delivering high-impact projects quickly and with quality\nNice to Have:\nExperience with dbt (data build tool) for transformation and orchestration of analytical pipelines\nFamiliarity with data ingestion tools such as Airbyte or Airflow\nKnowledge of automated testing best practices and CI/CD for data pipelines","description_format":"text","description_chars":3854,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-22T19:04:47Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cit-senior-data-engineer-analytics-brazil","json_url":"https://alion.io/job/cit-senior-data-engineer-analytics-brazil.json","meta":{"generated_at":"2026-09-24T01:15:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}