{"id":2723523,"url":"https://alion.io/job/first-help-financial-senior-data-engineer-sao-paulo-contract","title":"Senior Data Engineer - São Paulo (Contract)","company":{"id":3862133,"name":"First Help Financial","domain":"firsthelpfinancial.com","url":"https://alion.io/company/first-help-financial","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":107000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Master Data Management","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"GitHub Actions","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-16T15:39:26Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-24T11:19:16Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Martelo turns public records into commercial intelligence for the U.S. construction industry. We ingest building permits, deeds, tax assessor records and property data from sources across the country, resolve the conflicts between them, and deliver clean, connected data products that manufacturers, distributors and contractors use to find their next customer.\nWe started by transforming messy, fragmented property and permit data into clear, actionable insight. That foundation is now live and in customers' hands, and here the data is the product: the quality of our entity resolution, our reconciliation logic and our data models is what our customers pay for.\nWe are still a small, ambitious team that thrives on curiosity, resilience and purpose. We are builders, crafting technology from the ground up, exploring, experimenting and learning fast. The journey has moved past its first chapter, but the vision is unchanged: to build the leading data-intelligence platform for construction.\nYour Title: Senior Data Engineer.\nYour Location: Hybrid/Brazil HQ address - Nações Unidas 12901 - São Paulo - SP (the team meets at the office once in a while.).\nAbout the Opportunity:\nSenior individual contributor with end-to-end ownership. You gather requirements with go-to-market and product, design the solution, build it, prove it's correct, and keep it healthy in production. You lead the execution of your own work, and we expect you to propose work to the roadmap when you spot it before we do.\nOur platform runs on Databricks and you'll be working on it daily from week one. We are not set up to ramp someone on the fundamentals.\nWhat you will do:\nEntity resolution and master data management: source-of-truth rules, survivorship logic, stable identifiers and manual overrides across permits, deeds, assessor records and business/contact data. This is the heart of the role.\nReconciliation of third-party sources that disagree, at national scale, plus the observability that tells us when the logic drifts.\nModel stewardship: land new sources inside our production data models, and evolve those models when they no longer fit instead of bolting on workarounds.\nData quality end to end: testing, monitoring, alerting, lineage, and root cause analysis when incidents happen.\nAnalysis that shapes the roadmap: which sources to acquire next, which datasets to prioritize, and what quality gaps actually cost us commercially.\nProductionizing data science models: the data models, contracts and drift monitoring around ML.\nTechnical reference for the team: code review focused on correctness, cost and maintainability trade-offs.\nAI-assisted engineering. We use AI agents in day-to-day development, and you'll apply them where they add leverage, with guardrails and traceability.\n\nWhat success looks like in your first year: New sources land in production models without destabilizing them. Entity resolution quality is measured, monitored and visibly improving. At least one recurring data quality problem gets solved at the architecture level instead of patched again.\nWhat you bring:\nStrong SQL and Python, applied across the full data lifecycle from ingestion to serving.\nSolid, hands-on Databricks experience: notebooks, jobs, workflows, Delta Lake and PySpark in production. It's our core platform and we won't be teaching it.\nData modeling depth: dimensional modeling, slowly changing dimensions, grain design, medallion or equivalent layered architecture.\nEntity resolution and data reconciliation. This is the core of the role.\nData quality and observability: testing, monitoring, alerting, lineage.\nTransformation and orchestration frameworks (dbt, Airflow, Databricks Workflows or equivalent), with version control and CI/CD applied to data models.\nExperience with data products feeding a live application, not only dashboards, and the ability to translate an ambiguous business question into an actionable number.\nIt will be a differential if you have:\nData product architecture. We run multiple data products (permits, deeds, tax assessor, businesses and contacts), each built from several sources. Experience designing decoupled, product-oriented data architecture will set you apart: how domains map to models, how pipelines are organized and run per product, and how data is laid out and stored in a lakehouse.\nAI architectures applied to data: pipelines for RAG, MCP for standardized data-source access by agents, and quality and traceability in non-deterministic agentic systems.\nAdvanced Databricks ecosystem: Unity Catalog, Delta Live Tables.\nData governance: access control, cataloging, lineage.\nMLOps beyond the basics: model serving, drift monitoring, retraining workflows.\nOur stack: Python, SQL, PySpark, Databricks, Delta Lake, dbt, AWS, Terraform, Postgres, GitHub Actions, and AI agents in our day-to-day development.\nMartelo Benefits:\nCompetitive monthly compensation with real impact from day one.\nPaid vacation, sick leave, and health support allowance, because taking care of yourself matters as much as building.\nLocal holidays off, so you can recharge with family and friends.\nThe chance to work with cutting-edge technologies and tackle data challenges no one has solved before.\nA collaborative, inclusive, and diverse culture where every idea can shape the product and company.\nFast track professional growth. Learn, experiment, and build skills that will accelerate your career.\n If you meet most of what we need and none of the differentials, apply anyway. We'd rather talk to you than miss you.","description_format":"text","description_chars":5532,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Loans & Pawnshops","Leasing, Auto & Equipment Finance"],"lifecycle":[{"event":"open","at":"2026-10-16T15:39:26Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.898,"p_room":1,"age_days":7,"expected_fill_days":28,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/first-help-financial-senior-data-engineer-sao-paulo-contract","json_url":"https://alion.io/job/first-help-financial-senior-data-engineer-sao-paulo-contract.json","meta":{"generated_at":"2026-10-24T12:47:58Z","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":18473,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":3862133},"rest":"https://alion.io/mcp/rest/get_company?id=3862133"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffirst-help-financial-senior-data-engineer-sao-paulo-contract"},{"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%2Ffirst-help-financial-senior-data-engineer-sao-paulo-contract"},{"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%2Ffirst-help-financial-senior-data-engineer-sao-paulo-contract"},{"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/first-help-financial-senior-data-engineer-sao-paulo-contract\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffirst-help-financial-senior-data-engineer-sao-paulo-contract"}]}