Senior Data Engineer, RegTech
About The Position
The Regulatory Technology (RegTech) team at DriveWealth develops data products to support the Compliance organization in its supervisory reporting responsibilities and external regulatory requirements. We are looking for a Senior Data Engineer to take ownership of regulatory-related data products. The role entails end-to-end automation of data ingestion, transformation, orchestration, and delivery of best-of-class data products to internal and external stakeholders. The end product may be a BI report, data mart, bulk raw data delivery, or REST API endpoints. The ideal candidate is excited about working in an automated, modular, and testable environment and will work closely with the broader Data Platform, Analytics Engineers, Product Management, and Compliance professionals to ensure that requirements are met with scalable technical designs developed with strong engineering principles.
Requirements
- 5+ years of experience solving data problems with internal and external stakeholders
- 3+ years working on data ingestion (CSV, JSON, REST), data transformation (DBT), and orchestrating data pipelines (Databricks and/or Airflow)
- 2+ years of experience working with trading and/or regulatory reports, such as best execution, CAT, OATS, trade monitoring, EBS, and regulatory inquiries
- Experience working within a larger data team: CI/CD process leveraging GitHub and AGILE development where possible
- Programming Languages: Python, SQL, Spark (PySpark, Spark SQL)
- Declarative Languages: YAML, Terraform
- Databases: DynamoDB, Unity Catalog, PostgreSQL, SQL Server
- BS in Computer Science or equivalent program
Nice To Haves
- Experience with business intelligence reporting (Sigma)
Responsibilities
- Assist in creatively solving compliance and regulatory needs at DriveWealth
- Establish unit and regression testing practices for end-to-end CI/CD using declarative languages such as YAML and Terraform to ensure environmental parity
- Work with business partners, compliance, and product managers on requirements using an AGILE framework
- Work to establish an open and scalable data culture through documentation, constructive code reviews, and clear explanations of priorities and pain points
- Provide thought leadership, best practices on architecture and tooling, and standards for designing and implementing scalable data analytics solutions
- Provide mentorship and guidance to analytics engineers and analysts
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)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
251-500 employees
