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
What You’ll Need:
- 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 Computer Science or equivalent
Special Knowledge (Nice to Have, But Not Required):
- Fintech or capital market experience
- Familiarity with regulatory and compliance-driven reporting (e.g. FINRA, GDPR)
- Experience supporting or mentoring junior team members.
Pay Range: $145,000 USD - $165,000 USD
New York City Metro - 2-3 days/week in-office
If you're not based in this metro, this role is not a fit. Applicants must be authorized to work for any employer in U.S.—DriveWealth is unable to sponsor or take over sponsorship of an employment visa at this time.
Working at DriveWealth
We do our best work when we’re in the same room. To maintain the speed our partners expect, our New York, Chicago, and Lithuania 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.
Work Authorization
Applicants must possess the legal right to work in the country where the position is located at the time of application. DriveWealth requires all employees to provide original documentation verifying their work authorization on or before their first day of employment.
For US-based roles: Applicants must be currently authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. DriveWealth does not provide visa sponsorship or support for employment authorization, including transfers, at this time. Offers of employment are strictly contingent upon an individual’s ability to secure and maintain the legal right to work at the Company.
How We Think About AI
We 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 products 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.
Compensation
Pay is generally based on 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 Opportunity
To 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 based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply.
Agency Disclaimer
DriveWealth 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.
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
