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 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.
What You’ll Do
Advanced Engineering & Coding
- Core Development: Design and code complex dbt models and data transformation logic for high-volume financial datasets (trade transactions, order books).
- Python Automation: Write production-grade Python scripts for advanced data processing, anomaly detection, and custom orchestration logic that SQL cannot handle alone.
- Performance Engineering: Take ownership of the "hardest problems" regarding query performance. Refactor legacy code and optimize incremental loading strategies to reduce costs and latency at scale.
Technical Architecture & Standards
- CI/CD & DevOps: Own the technical implementation of our data deployment reporting pipelines (Git, dbt Cloud), ensuring robust version control and seamless integration
- Data Quality as Code: Engineer automated testing frameworks and validation suites (using dbt tests/Python) to catch data issues before they reach the business layer
Mentorship & Collaboration
- Code Reviews: Provide Code reviews for Junior and senior developers code
- Technical Guidance: Act as the "go-to" technical resource for Senior and Junior engineers when they hit blockers, helping them solve code-level problems through pair programming and guidance
- Cross-Functional Impact: Work across technical and business groups to problem-solve, consulting on impacts of future engineering changes to modeling outputs
What You’ll Need
Technical Mastery
- 6-12+ years of hands-on experience in data engineering or analytics engineering.
- Expert SQL: You don't just write queries; you understand execution plans, partition pruning, and how to optimize for compute-heavy environments.
- Advanced dbt: Deep experience with dbt internals, custom materializations, macros, and package management.
- Strong Python: Proficiency in Python for data manipulation (Pandas/Polars) and interaction with APIs/AWS services (boto3).
- Financial Data Fluency: Experience architecting data models for complex financial instruments, ledgers, or high-frequency transaction data.
- KPI Architecture: Experience building business metrics. ensure metric definitions are version-controlled, reusable, and mathematically consistent across all downstream reports.
Engineering Mindset
- Platform Thinking: You build solutions that are reusable and modular, not one-off scripts.
- Production Grade: Experience treating data as software (Unit testing, CI/CD, Documentation, SLA monitoring).
- Problem Solving: Ability to independently diagnose cryptic error messages in distributed systems (Spark/Databricks/Snowflake) and resolve them.
Special Knowledge (Nice to Have, But Not Required)
- Experience with Apache Spark or Databricks for heavy compute workloads.
- Experience implementing Airflow or similar orchestrators.
- Experience with Sigma Computing (from a data modeling perspective).
- Experience using AI/LLM tools to enable faster, smarter analytics workflows
Applicants must be currently authorized to work in the United States. At this time, DriveWealth does not provide new employment visa sponsorship, but candidates with existing transferable work authorization may be considered.
Compensation
Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.
Please note: this role is expected to come into our office on a cadence set by the Hiring Manager/Team.
We do our best work when we’re in the same room. To maintain the speed our partners expect, our New York and Chicago teams work in-office 4 days a week. We’ve found that being physically side-by-side is the only way to solve complex problems in real-time and stay truly accountable to the products we ship. When you’re here, you’re working directly with the people making the decisions. To support that work, we provide competitive compensation, equity, and a 401(k) match. We also offer full insurance coverage, a wellness reimbursement, a company-provided phone, and a personal development allowance. Finally, we value the time you spend away from the office with generous PTO, observed holidays, and extended leave.
How We Think About AIWe leverage AI to work smarter and move faster. We seek AI curious talent who are proactive about using emerging tools to increase signal quality, reduce friction and improve outcomes to deliver product faster, provide better service to our partners, and to streamline processes. Your ability to leverage our internal tools and technology to drive results is as important to us as your core domain expertise.
CompensationPay is generally based upon the level, complexity, responsibility, location and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a recruiter about our compensation philosophy and other available benefits. This role is eligible for base, bonus, equity, 401(k) match, and heavily subsidized benefits and perks.
Equal Employment OpportunityTo build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at [email protected].
Agency DisclaimerDriveWealth does not accept agency resumes. Do not forward resumes to our jobs alias, employees, or any other organization location. DriveWealth is not responsible for any fees related to unsolicited resumes.
Top Skills
What We Do
Over the past ten years, DriveWealth has been breaking down the barriers between global investors and U.S. markets and improving the financial lives of people that have been traditionally underserved and underbanked. We’ve built patent-pending technology to fractionalize US equities and were the first to receive a license to do so in 2015.
Why Work With Us
DriveWealth is growing quickly, and we need your help! This year we plan to getting close to doubling our headcount. We've raised over $100M so far from seasoned fin-tech investors Route 66, Point 72, and Raptor.
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