Senior Data Engineer, DriveWealth

• The ideal candidate is excited by both processing large volumes of data as well as thinking through new solutions to reduce the operational burden of regulatory requirements through human centered automation
• 5+ years of experience solving data problems with business partners
• 2+ years of experience working with trading systems
• Experience working within larger data team : CI/CD process leveraging github and AGILE development where possible
• Languages: Python, SQL, Spark (PySpark, Spark SQL)
• Compute platforms: Databricks, AWS (e.g. Delta Lake, Kinesis and Kinesis Firehose)
• Databases: DynamoDb, PostgreSQL, SQL Server
• Orchestration: Airflow, DBT
• BS in Computer Science or equivalent program

Desirable

• The Data & Analytics team at DriveWealth creates data products that provide access to relevant data and insights to help partners succeed
• We are looking for a Senior Software Engineer to join our growing data & analytics team at DriveWealth
• This Engineer will take ownership of the regulatory related data products focused on enabling our compliance team and partners achieve their goals
• The initial projects will center around core data processing that delivers data to regulatory parties and partners such as CAT and CAT2E
• The team places a focus on ensuring data quality and reliability, which has resulted in some early partner facing data products that enable data quality improvements
• This role will work closely with a regulatory data product manager to expand upon these data products over time
• This role will work closely with data engineers, analytics engineers, product managers and compliance professionals to ensure that requirements are met with scalable technical designs developed with strong engineering principals
• Build and maintain data products used to solve compliance and regulatory needs at DriveWealth
• Establish best in class development practices that put data quality first without unnecessarily hindering deployment time
• Work with business partners, compliance and product managers to finalize requirements, anticipating future features to proactively provide value from data
• Work with broader data & analytics team to ideate, build and maintain “self service” data products that enable data and analytics usage (tables, reports, dashboards and python notebooks), stepping in to help deliver and provide guidance wherever necessary
• 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