Principal Data Engineer, Analytics

DriveWealth; United States; Hybrid; USD 220,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Paid parental leave

Wellness reimbursement

Company-provided phone

Personal development allowance

Generous PTO

Holidays

401(k) match

Equity

Job summary

DriveWealth is seeking a Principal Data Engineer, Analytics to build data products and curate key data sources for internal teams and partners. You will be the hands-on technical engine, spending 60-70% of your time writing code while shaping the architectural vision of our data ecosystem using Databricks, dbt, and Python to support data-driven decision making.

You will lead cross-functional initiatives with Product, Finance, Operations, Risk, and Trading, mentor engineers, implement data

Qualifications

• 8+ years of analytics engineering or data engineering experience.
• SQL proficiency with scalable data models.
• Python for data manipulation and API/AWS integration.
• Databricks experience for analytics and dbt modeling.
• dbt materializations, macros, and package management experience.
• FinTech/Capital Markets data models experience preferred.
• AI-assisted engineering with AI tools to accelerate delivery.
• Reusable, modular data solutions with testing and CI/CD.
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Nice to have Airflow, Sigma Computing, and Databricks Data Apps.

Responsibilities

• End-to-End ownership of data products from concept to production.
• Design and code complex dbt models for high-volume financial data.
• Write production-grade Python scripts for data processing and orchestration.
• Optimize query performance and scalable data loading.
• Own CI/CD and data deployment pipelines with Git and dbt Cloud.
• Develop automated data quality tests with dbt and Python.
• Lead technical initiatives and collaborate with Product, Finance, Operations, Risk, and Trading.
• Mentor engineers and perform code reviews.

Skills

SQL

Python

Databricks

dbt

APIs/AWS

LLM tools

Data modeling

Testing/CI-CD

Education

Bachelor’s degree in CS/SE

Tools

Databricks

dbt Cloud

Git

CI/CD tooling

Airflow (Nice to Have)

Sigma Computing (Nice to Have)

Data Apps in Databricks

Job description

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 Role

As a Principal Data Engineer, Analytics you will be dedicated to building innovative data products that provide actionable insights and empower both our internal teams and partners to succeed. Your core focus will be on curating and maintaining key data sources and statistics that serve both internal and external stakeholders.

You will act as the hands-on technical engine driving this work forward, spending 60-70% of your time writing code while shaping the architectural vision of our data ecosystem. You will architect for massive scale, treat data as software, and build highly performant, resilient models and reporting solutions (using Databricks, dbt, and Python) that fuel data-driven decision-making across the business.

What You’ll Do

Advanced Engineering & Coding

• End-to-End Ownership: Own the full lifecycle of data products, from initial conceptualization and architecture through to production deployment, optimization, and maintenance.
• Core Development: Design and code complex dbt models and data transformation logic for high-volume financial datasets (e.g., trade transactions, stock ledgers, and clearing/settlement records).
• 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 ensure data integrity for critical business layers.

Leadership & Cross-Functional Impact

• Technical Project Leadership: Act as the hands-on lead for major initiatives. Scope, design, and manage complex data projects while remaining active in the codebase to ensure high-quality delivery.
• Cross-Functional Partnership: Partner directly with stakeholders across Product, Finance, Operations, Risk, and Trading to translate domain-specific requirements into robust data products and reporting solutions.
• Mentorship & Guidance: Act as the "go-to" technical resource for the team. Conduct thorough code reviews and help senior and junior engineers solve blockers through pair programming and architectural guidance.

You Bring

• 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.

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.