{"id":3653943,"url":"https://alion.io/job/clara-staff-data-engineer","title":"Staff Data Engineer","company":{"id":57887,"name":"Clara","domain":"clara.com","url":"https://alion.io/company/clara-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":21,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":104,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Feature Store","optional":false},{"name":"Machine Learning","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Dagster","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Embeddings","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-02T21:42:08Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-07T00:20:49Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Clara is the leading platform in Latin America for companies to execute and manage every payment operation. More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing company. We’re passionate about helping every company we work with become more effective-and, through that, raising the region’s competitiveness. We’re ~400 people, backed by Notable Capital, Coatue, Kaszek, monashees, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others.\nStaff Data Engineer\nWe are looking for a Staff Data Engineer to be the technical backbone of our Data organization. You will be part of the team owning the architecture of our data platform and making sure our data is ready for the AI era. This is a hands-on, individual-contributor role: you will spend most of your time designing and building, not managing people.\nYou will:\nOwn the technical vision and architecture of Clara's data platform, from ingestion and storage to modeling, serving and consumption\nDesign and build scalable, reliable, cost-efficient data pipelines (batch and streaming) that support analytics, machine learning and operational use cases\nLead our AI enablement efforts: structure, document and expose data (semantic layers, curated datasets, metadata, feature stores, retrieval-ready data) so that people, models and AI agents across the company can use it safely and effectively\nDefine and drive best practices in data modeling, testing, observability, CI/CD, lineage and data quality\nPartner with the Director of Data to translate business and strategic goals into technical roadmaps, and to evaluate build-vs-buy decisions\nImplement the technical foundations of our data governance strategy: access control, PII handling, auditability and compliance, which matter in a regulated fintech environment\nAdvance our self-service data platform so analysts, data scientists and business teams can work autonomously\nCollaborate closely with Engineering, Product, Risk, Growth, Marketing and Operations to ensure data is captured correctly at the source\nRaise the technical bar of the team through code reviews, design reviews, mentoring and technical documentation, without formal people-management responsibilities\nStretch and adapt to a dynamic and fast-paced work environment\nRequirements\n10+ years of experience in data engineering or software engineering with a data focus, including significant experience building and scaling data platforms at a top-tier tech company (fintech/startup experience is a plus)\nProven track record designing and operating production-grade data architectures (lakehouse/warehouse, ELT/ETL, orchestration, streaming) at scale\nDeep proficiency in SQL and Python; experience with distributed processing frameworks (e.g. Spark) and orchestration tools (e.g. Airflow, Dagster)\nExperience building tooling for AI agents or LLM applications on top of enterprise data (text-to-SQL, MCP, RAG pipelines)\nHands-on experience preparing data for ML and AI use cases (feature engineering, vector stores/embeddings, semantic layers, LLM-ready data) or a clear track record of moving quickly into this space\nStrong experience with cloud data platforms and infrastructure (AWS, GCP or Azure), plus infrastructure-as-code and CI/CD practices\nStrong command of data modeling, data quality, observability and governance best practices\nExperience with modern data stack tools (e.g. dbt, Databricks, Snowflake, BigQuery, Kafka)\nAbility to make sound architectural trade-offs (scalability, cost, reliability, speed of delivery) and communicate them clearly to technical and non-technical audiences\nStrong interpersonal and communication skills; comfortable influencing without authority and working closely with a Director-level leader\nBachelor's degree in Computer Science, Engineering, Math, or another relevant quantitative discipline (or equivalent practical experience)\nNice to have:\nExperience in payments, credit, cards or other regulated financial services\nExperience with data catalogs, metadata management and data contracts\nOpen-source contributions or technical writing/speaking\nWhere we work\nThis is a hybrid role: you'll split your time between the office, customers and home. We don't set a minimum number of office days for most roles - you'll spend time in the office naturally, and most days during your ramp-up or when your leader asks.\nWhy Clara\n A high talent-density team driven to make an impact in Latin America - low ego, high ownership.\nCompetitive salary and stock options (ESOP) from day one.\nAn annual learning budget and accelerated development paths.\nEnglish is our working language, with Spanish and Portuguese every day.\nHow we work\nClarity - Open and direct communication: we say what we mean and give context where it matters.\nSimplicity - If it can be simpler, it should be.\nOwnership - We own everything we do, end to end. When something needs to happen, we don't wait.\nPride - We hold ourselves to a high standard, and it shows in what we deliver.\n ABC (Always Be Changing) - We adapt fast, embrace change, and keep learning.\n Inclusivity - Diverse ideas, stories and perspectives build a better Clara.\nIf you meet the must-haves, apply - the nice-to-haves are a bonus, not a requirement.","description_format":"text","description_chars":5349,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":["Stock options"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Cards & Card Issuing","Business & SME Lending","Procurement & Spend Management"],"lifecycle":[{"event":"open","at":"2026-11-03T01:05:42Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":104,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":null,"html_url":"https://alion.io/job/clara-staff-data-engineer","json_url":"https://alion.io/job/clara-staff-data-engineer.json","meta":{"generated_at":"2026-11-07T03:57:30Z","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":9612,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":57887},"rest":"https://alion.io/mcp/rest/get_company?id=57887"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclara-staff-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%2Fclara-staff-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%2Fclara-staff-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/clara-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclara-staff-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3653943}},{"tool":"search_jobs","arguments":{"company":"clara.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3653943},"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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