LATAM Customer Data Engineer- Remote

A Series A decision-intelligence platform for independent wealth management (founded 2017) serving registered investment advisors with tools spanning portfolio risk analytics compliance workflows and advisor productivity. Operating in a $100B addressable market with strong product-market fit among mid-market and enterprise RIA clients. Growth-stage under 100 employees running on EOS with a lean accountable team working directly with the CEO Head of Sales and Head of Customer Success.

This is the support-focused half of the companys customer-data work partnering closely with a separate build-focused Integrations Data Engineer. The Customer Data Engineer investigates and resolves customer data issues to root cause reconciles and safely corrects records in the CMS builds diagnostic and troubleshooting tooling that speeds triage improves ETL for durable fixes and communicates status back through Support to customers. Systemic pipeline and data-model problems are handed off to the Integrations Data Engineer; knowing where that line sits is part of the job.

Crucially this role sits at the bridge between Engineering and Support. Its for someone who genuinely codes (intermediate Python/Django strong SQL) but is also customer-focused and can explain complex technical problems plainly to non-technical people. A pure backend engineer with no interest in support or customer communication is explicitly the wrong fit.

• Investigating and resolving customer data issues to the root cause
• Reconciling and safely correcting records in the CMS
• Building diagnostic and troubleshooting tooling that speeds triage
• Improving ETL for durable systemic fixes and handing deeper pipeline/model issues to the Integrations Data Engineer
• Communicating status and resolution back through Support to customers

1. Intermediate Python/Django
2. Strong SQL with data reconciliation and validation
3. Systematic troubleshooting and root-cause analysis
4. Strong English able to explain complex technical issues clearly to non-technical people
5. Customer-focused comfortable being the bridge between Engineering and Support
6. Experience resolving production data issues to root cause

• Support / success / implementation-engineering background
• SaaS or fintech especially wealth management or financial data
• Custodial feeds CRM integrations or market-data providers
• Experience building internal diagnostic tooling
• Monitoring / error-tracking tools
• Financial / securities data familiarity

Employment: Full-Time Location: Remote LATAM Experience: 3 years
Compensation: $3000$5000 per month. No visa sponsorship.