Principal Data Engineer, Analytics

8+ years of professional experience in analytics engineering or data engineering, with a proven track record of building and scaling analytical data ecosystems.

Expert proficiency in SQL, with experience optimizing complex queries and data models at scale.

Advanced proficiency in Python for data manipulation (Pandas/Polars/Spark) and interaction with APIs/AWS services.

Experience using Databricks for analytics workloads, including building and optimizing data models using Databricks SQL and dbt.

Experience with dbt materializations, macros, and package management.

Experience architecting data models for FinTech and Capital Markets, including trade lifecycles, clearing/settlement, risk models, and financial reporting.

AI-Assisted Engineering: Proficiency in leveraging AI tools (e.g., GitHub Copilot,or similar LLMs) to accelerate code delivery, automate documentation, and optimize engineering workflows.

Proven ability to build data solutions that are reusable and modular, rather than one-off scripts.

Experience treating data as software by implementing unit testing, CI/CD, comprehensive documentation, and SLA monitoring.

Ability to independently diagnose and resolve complex errors or issues within distributed systems (Spark/Databricks).

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Special Knowledge (Nice to Have, But Not Required)

Experience implementing Airflow or similar orchestrators.

Experience with Sigma Computing (from a data modeling perspective).

Experience building Data Apps within Databricks.

Experience using AI/LLM tools to enable faster, smarter analytics workflows.

This role is open to candidates in the following locations: New York City, Chicago, Austin, Dallas, Denver, Miami, San Francisco Bay Area, or Seattle.

If based in New York or Chicago: This role is expected to come into the office 3 days a week on a cadence set by the Hiring Manager/Team.

If based in Austin, Dallas, Denver, Miami, San Francisco, or Seattle: This is a fully remote role, though you may need to visit our onsite offices from time to time.

If you're not based in one of the locations listed above, this role is not a fit, and we cannot accommodate remote work outside these locations.

Applicants must be authorized to work for any employer in the U.S. DriveWealth does not sponsor or take over sponsorship of an employment visa at this time.

Pay Range: $220,000 – $240,000 USD

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 on a hybrid schedule. 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 Medical insurance, Dental insurance, Vision insurance, Disability insurance, and Paid Parental Leave, along with 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 Paid Time Off (PTO) and observed holidays.

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.