Software Engineer, Data

About the position

Software Engineers at Opto Investments are tasked with the challenge of turning complex business problems into elegant and pragmatic engineering solutions. We are context-driven, customer- and stakeholder-empathetic builders of tools and systems. We are end-to-end owners of engineering problems and solutions who constantly challenge one another to evolve as builders and collaborators. The Investment Analytics team partners with investment decision makers to distill complex financial data into creative workflows for analyzing private investments. Our mission requires a diverse range of expertise including frontend, backend, data, quantitative modeling, and financial analysis, so we are a multi-faceted team that is always looking to experiment and bring clarity to the previously opaque world of private investments. Our tech stack consists of a series of React-based Next.js Typescript applications hosted in Vercel. Behind that a collection of Aurora-backed Python REST API services are hosted as containerized applications in AWS. We make use of AWS Lambda for asynchronous tasks and we rely on Snowflake for data ingestion and warehousing. Our service deployments are completely automated and execute multiple times daily. Our tech stack continues to evolve, driven by our shared principles of optimizing for modularity, scalability, and team-level service ownership.

Responsibilities

• Be accountable for the delivery of high quality software projects in coordination with teammates and stakeholders on mutually agreed upon timelines
• Seek context and rapidly iterate on solutions to eliminate ambiguity and drive projects forward
• Participate actively in all phases of product development across specification, implementation, QA testing, deployment, and operations
• Foster a culture of collaboration by actively engaging in discussions, documentation, and code review
• Participate actively in engineering recruiting (interviewing, problem specification, role ownership, etc)
• Raise your hand when you need help - don't hesitate to reach out to stakeholders (product, teammates, managers, etc) to unblock your progress

Requirements

• 4-year technical degree (or equivalent work experience)
• 0-2+ years software development experience
• Experience building, scaling, and maintaining a data warehouse and data pipelines
• Experience with data pipeline orchestration tools (Airflow, Prefect, Mage, DBT, etc.)
• Experience interfacing with financial data providers (Refinitiv, Burgiss, MSCI, etc.)
• Experience with domain and data modeling for investment vehicles
• Experience with the software development lifecycle (CI/CD, Git, etc)
• Experience with cloud computing architectures and tooling - particularly AWS
• Experience using AI / LLMs for data extraction, data interrogation, and document generation
• Demonstrated background / interest in investment management
• Comfort with ambiguity and the ability to execute in a fast-paced startup environment
• Excellent communication skills and grace under pressure

Benefits

• Significant equity
• Health, dental, and vision
• Unlimited PTO
• Retirement savings plan (401k)
• Learning, Fitness & WFH stipends
• Paid Holidays