Senior Data Engineer

At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.

The Role:

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities

Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions

Implement software solutions in line with provided estimates and requirements

Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java

Experience with scripting languages such as Python for data-related tasks

Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)

Experience in Private Markets or Financial Services, specifically working with financial market data

Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality

Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development

Proficiency in databases such as PostgreSQL and strong SQL skills

Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)

Extensive experience with version control systems such as Git and platforms like GitHub

Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

Experience migrating systems from legacy architectures to modern tech stacks

Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka

Experience leading offshore and nearshore engineering teams

Experience using large language models and agentic workflows

For residents of San Francisco, CA the annual salary range for this role is $110,000-$130,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.