DriveWealth is looking to build and maintain its holistic data ecosystem to power data ingestion, a semantic data layer for analytics and reporting, and reporting and compliance for its partners and regulatory obligations.
Requirements
- Strong foundation in Python and SQL
- Familiarity with concepts in data structure, algorithms and relational database
- Curiosity about large-scale data systems and eagerness to learn new tools and technologies
- Experience with cloud platforms (AWS, Azure, GCP)
- Exposure to big data frameworks (Spark, Hadoop)
- Coursework or projects in data engineering, machine learning or distributed systems
Responsibilities
- Support development and testing of data pipelines (batch and streaming)
- Assist in building and maintaining high quality datasets used for analytics and reporting
- Learn how to monitor pipeline health and troubleshoot data quality issues
- Partner with engineers and analysts to translate requirements into technical Solutions
- Gain exposure to modern data engineering tools and workflows (Databricks, Spark, dbt, Airflow, AWS)
Other
- Currently pursuing a Bachelors, Masters, or MBA degree with a graduation date between December 2026 and June 2028
- Be available full-time and in-person for 40 hours per week
- Must reside in NY-metro area, relocation support will not be provided
- Must be available from Monday, June 1, 2025 to Friday, August 14, 2025
- Ability to work collaboratively and communicate clearly in a team setting
