We are seeking an experienced **Data Engineer** to help us build and scale Tongo's next-generation **data and analytics platform**.
This role will focus on designing, orchestrating, and optimizing data pipelines and models across **Snowflake**, **dbt**, and **Airflow**, ensuring data integrity, performance, and compliance within our fintech ecosystem.You'll work closely with data scientists, backend engineers, and finance teams to power insights that drive Tongo's products and risk decisions.
**Key Responsibilities**- **Design and implement scalable data pipelines** using **Airflow**, **dbt**, and **Snowflake** to move and transform data from operational systems, APIs, and third-party financial platforms.
- Develop **robust data models** (fact/dimension, star schema, denormalized layers) optimized for analytics and financial reporting.
- Develop and maintain **regular BI reporting** dashboards and delivery processes.
- **Automate ETL/ELT processes**, data validation, and quality checks using Python and SQL.
- Partner with analytics, finance, and product teams to deliver **trusted datasets** for risk modeling, payment reconciliation, and revenue analytics.
- Implement and enforce **data governance, security, and compliance** (SOC2, PCI).
- Continuously **tune performance** and cost efficiency of Snowflake workloads.
- Collaborate with DevOps to establish **CI/CD pipelines** for data workflows.
- Document data lineage, models, and process flows for transparency and scale.
**Required Qualifications**- **3-6 years** of experience as a **Data Engineer**, ideally in **fintech, payments, or financial services**.
- Advanced proficiency in **SQL** and **Python** for data transformation and automation.
- Hands-on experience with **Snowflake** (warehouses, performance tuning, role-based access, and data sharing).
- Strong command of **dbt** for modular data transformations, testing, and documentation.




- Proven experience with **Apache Airflow** or similar orchestration tools.
- Knowledge of **ETL best practices**, data modeling, and pipeline observability.
- Familiarity with **financial datasets**, APIs, or banking integrations (ACH, payouts, commissions, etc.) is a plus.
- Understanding of **data security and compliance** in a regulated environment.
**Preferred Skills**- Experience with **AWS** (S3, Lambda, ECS, or Glue).
- Familiarity with **event streaming** (Kafka, Kinesis) and **real-time analytics**.
- Exposure to **reverse ETL**, **Segment**, or **BI tools** (Superset, Looker, Mode, Tableau).
- Exposure to **Hubspot** including underlying data models.
- Understanding of **Agentic AI** workflow tools (n8n, Zapier)- Background in **machine learning data pipelines** or risk scoring models.
**Soft Skills**- Entrepreneurial mindset and comfort working in a **fast-paced startup**.
- Strong communication and collaboration skills with cross-functional teams.
- Ownership mentality with a passion for **clean, scalable, and well-documented data**.
- Curiosity for fintech innovation and real-estate technology.
**What We Offer**- 100% **remote** work with versátil hours.
- Competitive salary and **equity participation**.
- The opportunity to **shape the data foundation** of one of fintech's most innovative payment platforms for real-estate professionals.
**Tongo Financial Inc.
** is a fast-growing **fintech platform** redefining how real-estate professionals manage and access their income.We provide tools for **commission advances, desk-fee automation, payments, and cash-flow forecasting**, empowering agents and brokerages to take control of their earnings.We're building a modern data ecosystem that supports real-time decisioning, product personalization, and financial transparency across thousands of users and transactions.Pay: From $10,000,****** per month**Experience**:- ETL/ELT processes: 2 years (preferred)- Airflow, dbt, Snowflake: 1 year (required)**Language**:- English (required)

📌 Data Engineer (Remote) (Xico)
🏢 Tongo
📍 Xico