Senior Data Engineer – Cutting-Edge Investment Platform (On-Site / Hollywood)

About Us:

We are an innovative investment management platform responsible for overseeing assets worth more than $2 billion. As a Senior Data Engineer, you will join our fast-growing team where you will be integral to driving our investment strategies forward by optimizing data architectures and ensuring smooth data integrations. This position provides a unique opportunity to work in a collaborative, high-tech environment and contribute to the modernization of our investment infrastructure.

Key Responsibilities:

• Take ownership of creating robust and efficient ETL workflows to streamline data ingestion and processing.
• Lead the migration and integration of legacy databases into modern data solutions (MongoDB, PostgreSQL, etc.).
• Collaborate with traders, analysts, and portfolio managers to understand data needs and optimize systems for fast, reliable analysis.
• Develop and refine automated data pipelines that power portfolio analysis, backtesting, and real-time decision-making.
• Architect data models to handle high-frequency data and enable sophisticated simulations and analytics.
• Implement tools and frameworks to ensure data integrity, accuracy, and security across all platforms.
• Continuously review and improve our data architecture to keep it agile and scalable as the business grows.
• Troubleshoot and resolve any data-related issues, ensuring smooth operations across various trading and portfolio systems.

Required Qualifications:

• 7+ years of experience in Data Engineering, with a focus on data infrastructure and systems optimization.
• Expertise in database management systems like MongoDB and PostgreSQL, with experience handling complex data queries and schema optimization.
• Proficient in Python and its data libraries, including NumPy, Pandas, and Flask.
• Deep understanding of financial data structures and the trading lifecycle.
• Experience with cloud technologies, including AWS, GCP, or Azure, to scale data solutions.
• Strong problem-solving skills, with a focus on performance tuning and optimizing data pipelines for large-scale systems.
• Experience in writing unit tests and maintaining a high standard of code quality in collaborative environments.

Perks & Benefits:

• Competitive compensation with yearly performance bonuses.
• Robust health insurance options, including dental and vision.
• 401k with company matching and comprehensive retirement planning.
• Flexible work schedule with remote work options available.
• Access to professional development programs, including certifications and training.
• Positive and inclusive company culture with monthly team activities and social events.