Data Engineer Intern

Overview

Branch Overview
Branch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone, everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.
Branch’s mission-driven team is led by founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced its Series C and has garnered more than $100M in funding with investments from leading Silicon Valley firms including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).
We value diversity and are committed to providing an inclusive working environment where people of all backgrounds can thrive.
Job Overview
Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India, and are more than ever dependent on reliable data platforms and services to achieve our goals.
We are looking for talented interns to join our Data Engineering team and be part of this journey. As a Data Engineering Intern, you will work closely with experienced data engineers to design, build, and optimize scalable data pipelines that power Branch’s analytics, reporting, and machine learning models. This is a 4–6 month program, with potential conversion into a full-time offer based on performance.
Responsibilities

• Design, build, and maintain reliable ETL/ELT data pipelines.
• Work with structured and unstructured data across multiple sources (databases, APIs, event streams).
• Support warehouse operations using modern OLAP tools (e.g., Snowflake, Redshift, BigQuery, Synapse).
• Implement data orchestration workflows using scheduling tools (e.g., Airflow, Prefect, Luigi, Dagster).
• Ensure data quality, reliability, and observability through validation and monitoring.
• Collaborate with data analysts, scientists, and backend engineers to ensure smooth data access for business and product teams. Qualifications
• Strong foundation in computer science fundamentals (data structures, algorithms, databases).
• Solid understanding of SQL and at least one programming language (preferably Python).
• Familiarity with cloud data services (AWS S3/RDS, GCP BigQuery, or Azure equivalents).
• Exposure to data warehousing concepts (star schema, dimensional modeling).
• Nice-to-have: Experience with orchestration tools (Airflow, Luigi, Prefect) or ETL frameworks (dbt).
• You are entrepreneurial and proactive in solving problems before they arise.
• You are collaborative, communicative, and comfortable working in a distributed team.
• Benefits of Joining
• Mission-driven, fast-paced, and entrepreneurial environment.
• Competitive stipend as compensation.
• A collaborative and flat company culture.
• A potential full-time job offer depending on performance during the internship