Data Engineer, Point72 Private Investments

About Point72 Ventures

Point72 Ventures is a global venture capital firm led by a diverse set of domain experts with the capital to lead rounds through all stages of company growth. We invest primarily in Fintech, AI/ML, and Enterprise technologies. As an affiliate of Point72, the global asset management firm led by Steven Cohen, Point72 Ventures pursues an investment strategy that aims to marry domain expertise with timely and  well-informed insights into the global economy. Point72 Ventures has offices in New York City, Palo Alto, San Francisco, and Stamford, Connecticut.

About Our Team

The Proprietary Research team partners with our investment professionals and compliance to deliver value-added research capabilities and products designed to elevate the private investing workflow. Our team is a dynamic, diverse, and dedicated group of professionals who are committed to delivering the highest standard of work. We come from various professional backgrounds that  offer an array  of experience and expertise. Our diversity is our strength, fostering creativity, innovation, and robust problem-solving approaches. We prioritize collaboration and open communication, ensuring that every team member's voice is heard and valued.

About This Role

In this role, you will be leveraging a variety of innovative technologies to drive data-driven solutions and infrastructure automation. You will be using Apache Spark to process large datasets at speed, enabling informed, real-time decision making. With Terraform, you will be managing and provisioning our cloud infrastructure as code, ensuring consistency and reliability across environments. You will be orchestrating complex workflows and data pipelines using Apache Airflow, promoting efficient execution, and monitoring of tasks. Kubernetes will be your go-to for automating deployment, scaling, and management of containerized applications. Lastly, you will use DBT (Data Build Tool) for transforming raw data into meaningful analytics that drive business insights. This role will work closely with end users to develop data driven solutions to difficult industry problems.

What Excites You   

• Making robust infrastructure and creating MVPs for our business partners and investment professionals
• Learning, getting into the weeds with, and inspiring people with your work 
• Working with a diverse set of domain experts and high-level stakeholders
• Using the latest data engineering technologies to solve problems

What Excites Us  

• A record of accomplishment that demonstrates abilities in preferred infrastructure components (Airflow, EKS, Kubernetes)
• Insatiable learners who constantly seek frontiers and can learn complex concepts quickly 
• Strong communicators who provide clarity to their audience 
• People who “elevate the room” through their work ethic, curiosity, and attitude 
• Team players who care about and contribute to a thriving team culture
• Helpers who roll up their sleeves to do the work

What Success Looks Like  

• Ownership – You take charge of your work, uphold your commitments, and never drop the ball  
• Prioritization – You focus on what matters most and wait on the rest; you are great at thoughtfully saying no to others 
• Adaptability – You can triage needs and context-switch quickly and effortlessly 
• Communications – You have excellent listening, verbal, and written communication skills 
• Teamwork – Everyone loves working with you and feels energized after engaging with you 
• Integrity – You demonstrate 100% commitment to the highest ethical standards 

We take care of our people 
We invest in our people, their careers, their health, and their well-being. When you work here, we provide: 

• Private Medical and Dental Insurances
• Generous parental and family leave policies
• Volunteer Opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

The annual base salary for this role is $115,000 - $150,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.