Principal Data Engineer – FinTech Analytics Architect

Quiet Capital; New York (NY); 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 phone

Personal development allowance

Generous PTO & holidays

Job summary

DriveWealth is seeking a Principal Data Engineer, Analytics in New York, hybrid. You will architect and build scalable data products powering internal and partner insights, with 60–70% coding and 30–40% architecture leadership.

You’ll work on high‑volume financial datasets, ensuring data quality, performance, and reliability across the data ecosystem. You bring 8+ years in analytics/data engineering, deep SQL, Python, and Databricks/dbt expertise, plus FinTech data modeling experience.

Qualifications

• Strong SQL skills with complex queries and data models.
• Proficient Python for data manipulation and API/AWS interaction.
• Experience modeling data for FinTech/capital markets.

Responsibilities

• Own data product lifecycle from concept to production.
• Design and code dbt models for high-volume financial data.
• Write production-grade Python for data processing and orchestration.
• Optimize query performance and reduce latency at scale.
• Lead CI/CD and DevOps for data pipelines.
• Build automated data quality tests and validation suites.
• Lead major initiatives and mentor engineers, guiding architecture.

Skills

SQL Proficiency

Python for Data

Data Modeling

Analytical mindset

FinTech domain knowledge

Education

Bachelor's in CS/SE

Tools

Databricks

dbt

Python

AWS

Job description

DriveWealth is seeking a Principal Data Engineer, Analytics in New York, hybrid. You will architect and build scalable data products powering internal and partner insights, with 60–70% coding and 30–40% architecture leadership.

You’ll work on high‑volume financial datasets, ensuring data quality, performance, and reliability across the data ecosystem. You bring 8+ years in analytics/data engineering, deep SQL, Python, and Databricks/dbt expertise, plus FinTech data modeling experience.