DriveWealth · 21 hours ago
Principal Data Analytics Engineer
DriveWealth is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. The role focuses on building innovative data products that provide actionable insights, empowering partners to succeed by curating and maintaining key data sources.
Responsibilities
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
Qualification
Required
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
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
Preferred
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
Company
DriveWealth
DriveWealth is a visionary technology company that empowers more than 100 partners around the world.
H1B Sponsorship
DriveWealth has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (17)
2023 (25)
2022 (11)
2021 (18)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$550.8MKey Investors
Point72 VenturesRoute 66 Ventures
2021-08-20Series D· $450M
2020-10-27Series C· $56.7M
2017-11-03Series B· $21.1M
Recent News
2026-01-14
2025-11-04
2025-10-31
Company data provided by crunchbase