{"id":2145933,"url":"https://alion.io/job/kiwicredito-credit-risk-data-engineer","title":"Credit Risk Data Engineer","company":{"id":697665,"name":"Kiwicredito","domain":"kiwicredito.com","url":"https://alion.io/company/kiwicredito","size_band":"51-200","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":null,"hiring_geo_confidence":"inferred","locations":["Santo Domingo, Dominican Republic"],"countries":["DO"],"hiring_countries":["AR","CO","DO"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":139000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Great Expectations","optional":false},{"name":"Metabase","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T22:11:17Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-30T23:04:10Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"We are looking for a Data Engineer to own the data layer behind Kiwi's credit risk decisions. Your mission is to make sure Credit Risk always has the data it needs, when it needs it, in the right shape and in the right place.\nYou will own every data point that feeds an underwriting or renewal decision, from the moment a vendor returns it to the moment a model or analyst uses it. If an input breaks, goes stale, or drifts, you will be the first to know.\nThis is a new role. Today our data scientists check data quality and availability while also building models. We are creating this position so the data layer has a dedicated owner and issues are caught early, before they affect decisions.\nResponsibilities\nOwn the inventory of every credit data source, including TransUnion, Clarity, Plaid, Prism, and internal data from the app and loan servicing.\n\nDefine, for each source, what data Credit Risk needs, at what grain, how fresh it must be, and where it lands.\n\nWrite data contracts with the engineers who build the vendor integrations, covering expected fields, types, null rules, and volumes.\n\nConfirm that raw vendor responses are stored completely and can be reused for model development and audits.\n\nMonitor freshness, volume, fill rate, and schema for every source and every model input.\n\nSet up alerts for when a feature's fill rate drops, a vendor stops returning a field, or volumes deviate from baseline.\n\nTrack input drift for production models alongside the data scientists.\n\nTriage data incidents: find the root cause, route the fix to the right owner, and track it to closure.\n\nOwn the Credit Risk layer of our Snowflake warehouse, including raw, staging, mart, and feature tables.\n\nBuild and maintain the pipelines and transformations behind application, loan, performance, and vendor data.\n\nKeep modeling datasets reproducible, so data scientists can rebuild a point-in-time training set without leakage.\n\nMaintain the tables behind the Credit Risk dashboards and governed metrics.\n\nWrite automated tests for keys, duplicates, ranges, referential integrity, and reconciliation between sources.\n\nMaintain documentation and lineage: what each table and field means, where it comes from, and who uses it.\n\nKeep the owner registry up to date for every vendor, model, and model input.\n\nSupport vendor oversight by checking SLAs and reconciling pull counts against vendor invoices.\n\nRequirements\n4+ years of experience in data engineering or analytics engineering, including time as the main owner of a production data platform.\n\nExpert SQL and strong data modeling skills, including dimensional models, slowly changing data, and point-in-time snapshots.\n\nHands-on experience with a cloud data warehouse, ideally Snowflake.\n\nExperience with a transformation framework such as dbt, using version control, code review, and CI.\n\nPython for pipelines, tests, and automation.\n\nA track record of building data quality tests and alerting, using dbt tests, Great Expectations, Monte Carlo, Elementary, or custom checks.\n\nExperience with an orchestration tool such as Airflow, Dagster, or Prefect.\n\nAn ownership mindset: you notice problems before others do, follow them to the root cause, and close them out.\n\nClear written communication: you can write a data contract, an incident note, or table documentation that others rely on.\n\nOur technology\nOur risk and data environment includes Snowflake, DBT, Airflow, Python, and Metabase, with credit bureau and bank data from providers such as TransUnion, Clarity, and Plaid. We value experience with the underlying data engineering challenges; prior use of every tool in this stack is not required.\nNice to have\nExperience in fintech or lending, especially with credit bureau data (TransUnion, Experian, Clarity) or bank data (Plaid).\n\nExperience supporting data scientists with feature tables and training datasets, including avoiding leakage.\n\nFamiliarity with model monitoring concepts such as PSI, drift, and fill rates.\n\nExposure to lending compliance, such as FCRA, adverse action, and data retention.\n\nExperience with BI tools such as Metabase.\n\nBilingual in Spanish and English.\n\nWhat we offer\nThe opportunity to work on critical financial products with direct impact on customers and business growth.\n\nFull ownership of the Credit Risk data layer and the opportunity to shape how it evolves.\n\nMeaningful challenges across data pipelines, data quality, monitoring, and modeling datasets.\n\nAn environment where AI is becoming a core part of how we work and build.\n\nA collaborative multidisciplinary team across Credit Risk, Data Science, Engineering, and Product.\n\n100% remote - [Argentina, Colombia, Dominican Republic].","description_format":"text","description_chars":4683,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Spanish","level":"Proficiency (C2)","optional":true},{"language":"English","level":"Proficiency (C2)","optional":true}]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"country"},{"name":"Colombia","iso":"CO","kind":"country"},{"name":"Dominican Republic","iso":"DO","kind":"country"},{"name":"Santo Domingo","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial AI","Consumer Loans & Pawnshops"],"lifecycle":[{"event":"open","at":"2026-10-09T04:23:23Z"}],"visa":[],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.818,"p_room":0.75,"age_days":30,"expected_fill_days":37,"reasons":["conf:2","velocity","win:late"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/kiwicredito-credit-risk-data-engineer","json_url":"https://alion.io/job/kiwicredito-credit-risk-data-engineer.json","meta":{"generated_at":"2026-10-31T00:58:30Z","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":1476,"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":697665},"rest":"https://alion.io/mcp/rest/get_company?id=697665"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkiwicredito-credit-risk-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%2Fkiwicredito-credit-risk-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%2Fkiwicredito-credit-risk-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/kiwicredito-credit-risk-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkiwicredito-credit-risk-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2145933}},{"tool":"search_jobs","arguments":{"company":"kiwicredito.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2145933},"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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