Principal Data Analytics Engineer at DriveWealth

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

250000.0

Posted On

25 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, SQL, Python, dbt, Data Quality, Performance Engineering, CI/CD, DevOps, Financial Data, Problem Solving, Apache Spark, Databricks, Airflow, AI Tools, KPI Architecture

Industry

Financial Services

Description

DriveWealth is 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. We seek enthusiastic professionals to contribute diverse perspectives and experiences to our Brokerage-as-a-Service platform. Our culture blends the pace and opportunity of a tech start-up with the impact, stability, and significance of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. We value diversity and inclusion, celebrating the unique differences of our employees as we scale and grow together. We’re guided by operating principles grounded in accountability, teamwork, integrity, and solutions built to scale. Join us! 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. Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time. Special Knowledge (Nice to Have, But Not Rqequired) 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 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. New York, NY (Hybrid) Pay Range $200,000—$250,000 USD Benefits Competitive medical, dental, and vision insurance options Mental health resources Generous paid time off with observed holidays (varies per country) Paid parental leave for biological and adoptive parents Up to $2,500 or local equivalent each year to invest in continued education and personal development Up to $900 each year or local equivalent for fitness and wellness reimbursement Company-provided phone (varies by country) For HQ in-office employees, a daily lunch stipend, unlimited snacks, and engaging office space in the Financial District Pre-tax commuter benefits (US only) Employer 401K match (US only) Benefit offerings vary based on country and are subject to change. 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 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 recruiting@drivewealth.com. Agency Disclaimer DriveWealth does not accept agency resumes. Please 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.

Responsibilities

The Principal Data Analytics Engineer will design and code complex data transformation logic for high-volume financial datasets and write production-grade Python scripts for advanced data processing. They will also take ownership of query performance and optimize data deployment reporting pipelines.