Backend Engineer – Real-Time Data & Streaming

Dl; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a dedicated Backend Engineer to enhance a professional web-based financial terminal. In this role, you will design and implement scalable data pipelines, optimize databases, and manage containerized data infrastructure. You will collaborate with backend teams to ensure real-time data delivery and monitor system performance using advanced tools. Ideal candidates will have strong Python skills and experience with data processing frameworks. Join a forward-thinking team and contribute to cutting-edge financial technology that transforms data into actionable insights.

Qualifications

• Strong proficiency in Python and JVM-based languages is essential.
• Experience with large-scale data processing frameworks is required.

Responsibilities

• Design and build scalable streaming data pipelines and ETL workflows.
• Optimize databases and ensure efficient data storage and delivery.

Skills

Python

JVM-based languages (Kotlin or Java)

Apache Beam

Spark

PostgreSQL

NoSQL solutions

Kafka

AWS

GCP

Terraform

CloudFormation

Debugging skills

Communication skills

Tools

Grafana

Prometheus

Docker

Kubernetes

Job description

Careers / Backend Engineer

Backend Engineer

$140K – $250K • Offers Equity

The Role

We're looking for a Backend Engineer to build out Godel Terminal, a professional web-based financial terminal offering comprehensive financial and investment data. You'll design and own the scalable data pipelines and infrastructure that deliver real-time market data to thousands of users.

This is a high-ownership role working directly on the systems that make or break the product's reliability and performance.

Tech Stack

Backend Kotlin Python Spring Boot Kafka Kubernetes Database PostgreSQL Clickhouse Infra AWS Terraform Docker Monitoring Grafana Prometheus

What You'll Do

• Design, build, and own scalable streaming data pipelines and ETL workflows
• Optimize large-scale, high-performance databases and ensure efficient data storage
• Integrate high-volume data feeds and process them for real-time applications
• Deploy and manage containerized data infrastructure using Docker and Kubernetes
• Collaborate with frontend teams to ensure real-time data delivery to UI components
• Monitor system performance and ensure reliability through Grafana and Prometheus
• Implement data security best practices and monitor service reliability with alerting and logging

What You Bring

• Strong proficiency in Python and JVM-based languages (Kotlin or Java)
• Extensive experience with large-scale data processing frameworks (Apache Beam or Spark)
• Expertise in database management (PostgreSQL, NoSQL) and query optimization
• Familiarity with event-driven architectures and messaging systems like Kafka
• Hands-on experience with AWS/GCP and Infrastructure as Code (Terraform, CloudFormation)
• Experience with monitoring tools like Grafana and Prometheus
• Strong debugging skills, especially for distributed systems
• NYC residence or willingness to relocate

Nice to Have

• Experience with real-time streaming architectures (Kafka, Flink)
• Familiarity with financial data systems or terminals
• Production Kubernetes experience at scale
• Background in managing machine learning pipelines or complex data workflows

Benefits

▲

Significant equity

We hire deliberately and pay above-market equity grants to employees who keep our users happy.

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Health, dental, vision

Top-tier health, dental, and vision coverage from day one.

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NYC office

Beautiful office in New York City. We work together, in person.

∞

Work with top-tier talent

Build a company from the ground up alongside some of the sharpest financial analysts on Wall Street.

Other Open Roles

Senior Full Stack Engineer New York, NY • Full-time → Frontend Engineer New York, NY • Full-time → Data Entry & Research Associate New York, NY • Full-time → word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word
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