Data Engineer

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 flexible 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.

**Experience**:

- ETL/ELT processes: 2 years (preferred)
- Airflow, dbt, Snowflake: 1 year (required)

**Language**:

- English (required)