Job Opportunities API

About Us DriveWealth is on a mission to make investing easier. We believe that everyone should have the ability to control their financial future, and that access to financial markets should not be limited by geography, wealth, or legacy systems. We are a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices. Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options. There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for this opportunity. Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. Join us and help build the future of global investing! About The Team We are looking for a Data Engineer who thrives on solving data problems, and enjoys working cross-functionally with product, engineering and analytics teams to deliver trusted, high-impact data solutions. The ideal candidate is excited to take ownership of well-defined data challenges and support the evolution of our data platform. The Data & Analytics organization at DriveWealth powers the company’s data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars: Data Ingestion - building reliable pipelines that bring data from diverse internal and external sources Semantic Data Layer - creating curated, consistent and reliable datasets that enable analytics, reporting and decision making What You’ll Do Contribute to the design, build and maintenance of robust data pipelines (batch, streaming and replication) that power analytics, reporting and compliance use-cases Translate business needs into data solutions in collaboration with product managers, engineering teams and business stakeholders Proactively monitor and address challenges and opportunities, helping to anticipate scaling, performance and quality needs before they become blockers. Adhere to and promote best practices, including documentation, code reviews and standards for data modelling, orchestration and tooling Actively participate in code reviews and knowledge sharing, raising the bar for data engineering craft and helping grow team capabilities Support the contribution to self-service data products, enabling data consumers with curated datasets, semantic layers and tools that accelerate insight generation You Bring 2-3 years of professional experience in data engineering or related fields, with a track record of building and contributing to data pipelines and platforms. Technical Skills: Proficiency in Python and SQL Familiarity with Spark (PySpark and SparkSQL) and distributed data processing Familiarity with orchestration and transformation tools (e.g. Airflow, DBT) Familiarity with Databricks and cloud platforms (AWS preferred) Familiarity with infrastructure as code (e.g.Terraform or equivalent) Working knowledge in shell scripting and command line tooling (e.g. Databricks CLI) Proven ability to work independently and cross-functionally with product, engineering and business teams Experience working in teams with CI/CD pipelines, Git-based workflows and Agile methodologies Curiosity, accountability and a drive to improve data quality, scalability and usability across the company BS in Com