Engineering Backend Engineer New York, NY

Dl; New York, Northern (NY, KY); Hybrid; 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

We are looking for a full-time Backend Engineer to build out Godel Terminal, a professional web-based financial terminal software offering comprehensive financial and investment data.

Stack:

Monitoring/Visualization: Grafana, Prometheus

Responsibilities:

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 backend teams to ensure real-time data delivery to UI components

Monitor system performance and ensure reliability through tools like Grafana and Prometheus

Implement data security best practices and monitor service reliability with alerting and logging

Requirements:

NYC residence or willingness to relocate

Strong proficiency in Python and JVM-based languages (Kotlin or Java)

Extensive experience with large-scale data processing frameworks such as Apache Beam or Spark

Expertise in database management (PostgreSQL, NoSQL solutions) and query optimization

Familiarity with event-driven architectures and messaging systems like Kafka

Hands-on experience with cloud services (AWS, GCP) and Infrastructure as Code tools (Terraform, CloudFormation)

Experience with monitoring tools like Grafana and Prometheus

Strong debugging skills, especially focused on distributed systems performance optimization

Excellent communication skills, both written and verbal

Nice to have:

Experience with real-time data systems and streaming architectures (e.g., Kafka, Flink)

Familiarity with financial data systems or terminals

Production experience with Kubernetes at scale in cloud environments

Background in managing machine learning pipelines or complex data workflows