Go Engineer - Market Data

Massive; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Massive is seeking a software engineer to build and maintain high-performance pricing data APIs and real-time pipelines. You will own external APIs (REST, gRPC, WebSocket) and collaborate with a lean team (<30 people) across product, support, and infrastructure. The role emphasizes ownership, learning, and sharing knowledge while shaping fintech data platforms.

You’ll work with Go, Kubernetes, Docker, and modern CI/CD tools to deliver scalable services and robust data ingestion. A strong English communicator thrives in our distributed environment.

Qualifications

• Significant, demonstrable experience with Go.
• Knowledge of how services are deployed and operated in Kubernetes.
• 3+ years of professional software engineering experience.
• Proficient in English (written and verbal).
• Ability to understand complex technical and architectural issues and propose iterative solutions.
• Experience collaborating with engineers in a distributed/remote environment.
• Willingness to share knowledge and pair with others to solve issues.
• Self-starter with excellent organizational skills and initiative.

Responsibilities

• Write reliable, high-quality, performant, and maintainable code.
• Develop and maintain external APIs for pricing data APIs (REST, gRPC, WebSocket).
• Work with data vendors to ingest new data sources and maintain real-time ETL pipelines.
• Collaborate daily with a small team and regularly with other engineering teams.
• Conduct timely code and PR reviews.
• Create comprehensive design docs communicating upcoming technology changes and architecture decisions.
• Prioritize customer care as a core element of your role.

Skills

Go

English comm.

Remote collaboration

Problem solving

Tools

Kubernetes

Docker

GitHub Actions

REST APIs

gRPC/Protobuf

WebSockets

Kafka

SQL

Redis

Rust

Job description

Help us deliver ergonomic product APIs that efficiently and maintainably handle large quantities of financial pricing data.

The Market Data team owns the fundamental pricing data that most people associate with financial markets - trades, quotes, and aggregates. Market Data engineers manage high-volume data from ingestion into our Data Platform to presentation through our many customer-facing APIs (REST + WebSockets). They also work on minimizing latency in our streaming data pipeline. All engineers work directly with our Product and Support managers to consistently deliver an industry-leading customer experience. The Market Data Team closely collaborates with our Account Services, Infrastructure Platform, and Data Platform engineering teams.

Because we are a lean engineering org (<30 people), there are many opportunities to wear multiple hats, lead technology changes, and dive deep into many technologies. The core technologies in the Market Data team include but are not limited to Go, Kubernetes, Docker, GitHub Actions, RESTful APIs, gRPC/Protobuf, WebSockets, Kafka, Redis, SQL, and (a little) Rust.

Responsibilities

• Write reliable, high-quality, performant, and maintainable code.
• Develop and maintain external APIs for pricing data APIs, including REST, gRPC, and WebSocket protocols.
• Work with data vendors to reliably ingest new data sources, including changes to our real-time ETL pipeline.
• Collaborate daily with a small team of passionate engineers and regularly with other engineering teams.
• Conduct timely code and PR reviews.
• Author comprehensive design docs to communicate upcoming technology changes, customer features, and architecture decisions.
• You will be responsible for creating cutting-edge software solutions and prioritizing customer care as a core element of your role.

Skills and Qualifications

• Significant, demonstrable experience with Go.
• Knowledge of how services are deployed and operated in Kubernetes.
• 3 or more years of professional experience.
• Proficient in the English language (both written and verbal). Continuous communication is essential to success in our distributed work environment.
• Demonstrable ability to understand complex technical and architectural issues and propose iterative solutions to solve those issues.
• Experience working with other engineers in a remote workplace.
• Willingness to share knowledge and pair with others to solve issues. Learning and working in public spaces is a key skill at Massive .
• Self-starter with excellent organizational skills and the ability to investigate issues with minimal guidance.

Nice to Have

• Experience working with OpenAPI specifications and REST APIs.
• Experience with gRPC and Protobuf APIs.
• Experience with Kafka, message queues, or other event-driven technologies.
• Experience with SQL databases, building efficient schemas, and query analysis.
• Experience with big data, especially from a pipeline perspective.
• Experience or interest in learning about financial market transactions.
• Experience working for a growth-oriented Fintech startup.
• Experience with other programming languages, such as Rust or Python.

About Massive

At Massive, we’re on a mission to modernize Wall Street, empowering developers with the tools they need to shape the future of finance. We’re reimagining financial market data for the 21st century, removing barriers, simplifying access, and creating frictionless, forward-thinking technologies.

Join us and become part of a passionate team that consistently sets new industry standards, creating a profound impact on the world of finance and technology, and leveling the playing field by providing fair access for all.

Massive is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate harassment or discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender, gender identity, age, physical or mental disability, citizenship, sexual orientation, past, current or prospective service in the uniformed services. To request a reasonable accommodation, please email [e-mail] .

Benefits for full time offers from Massive include, but are not limited to, comprehensive medical plans, 401(k), and unlimited time off. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

Before submitting your application, please take a minute to review our Applicant Privacy Notice , which describes the data we collect, why we collect it, and how we use it. By submitting your application, you consent to our Applicant Privacy Notice .

Modernizing Wall St.

Reimagining financial market data for the 21st century.