Data Engineer
Listed on 2026-03-02
-
IT/Tech
Data Engineer, Data Analyst
Drive Wealth 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. Drive Wealth 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!
AboutThe Role
The Data & Analytics team is dedicated to building innovative data products that provide actionable insights, empowering our partners to succeed. We focus on curating and maintaining key data sources and statistics that serve both internal and external stakeholders.
We are seeking a Data Engineer to join our growing team. This role will work closely with cross-functional teams to interpret and clarify requirements, architecting efficient and scalable data solutions. You'll play a key part in shaping the future of data at Drive Wealth, balancing competing priorities and laying the groundwork for long-term growth while delivering high-quality data products.
Finally, the candidate should be excited about coming into a team in the process of shaping the direction of data and analytics at Drive Wealth, this means balancing competing priorities and laying the groundwork for scale.
What You'll Do- Build and maintain scalable data pipelines using Databricks
, Python
, and SQL
, implementing a "Medallion" architecture (Bronze/Silver/Gold) to support financial and brokerage functions. - Own the transformation layer using dbt
, ensuring that complex financial logic is codified into high-performance, modular, and reusable data models. - Develop and monitor end-to-end ELT/ETL processes, leveraging Databricks Workflows or Airflow to ensure timely and reliable data delivery.
- Optimize Spark jobs and SQL queries for maximum efficiency, managing compute costs while improving data latency.
- Implement rigorous data quality checks and validation frameworks (using dbt tests and custom Python) to ensure "source of truth" accuracy across trade and transaction data.
- Optimize SQL query performance for the reporting suite.
- Collaborate with product and engineering teams to understand data requirements and proactively address future feature needs.
- 3+ years working on data ingestion (CSV, JSON, REST), data transformation (DBT), and orchestrating data pipelines (Databricks and/or Airflow).
- Experience working within a larger data team: CI/CD process leveraging Git Hub and AGILE development where possible.
- Programming
Languages:
Python, SQL, Spark (PySpark, Spark SQL). - Databases:
Dynamo
DB, Unity Catalog, Postgre
SQL, SQL Server. - BS in Computer Science or equivalent program.
- Experience with the financial market and trading concepts.
- Familiarity with regulatory and compliance-driven reporting (e.g. FINRA, GDPR).
- Experience with business intelligence reporting (Sigma).
Applicants must be currently authorized to work in the United States. At this time, Drive Wealth does not provide new employment visa sponsorship, but candidates with existing transferable work authorization may be considered.
CompensationCompensation package offerings are based on candidate experience and technical qualifications, as it relates to the…
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