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DriveWealth · 3 hours ago

Senior Data Engineer, RegTech

New York, NY

Full-time

Hybrid

Senior Level

$150K/yr - $180K/yr

5+ years exp

DriveWealth is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. The Senior Data Engineer will take ownership of regulatory-related data products, automating data ingestion, transformation, orchestration, and delivery to stakeholders.

Artificial Intelligence (AI)Cloud InfrastructureCryptocurrencyDeveloper APIsFinancial ServicesFinTechPersonal FinanceSoftwareTrading PlatformWealth Management

No H1B

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

Qualification

Data ingestionData transformationData orchestrationPythonSQLSparkYAMLTerraformDynamoDBPostgreSQLAGILE developmentCI/CD processMentorshipDocumentation

Required

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