Software Engineer 1 - Data Platforms

This is a Fully Remote Job
About Our Client:
The organization operates in the cybersecurity industry, addressing the challenge of preventing cybercrime through AI-native, data-intensive SaaS applications. It provides fast, reliable, and secure access to large datasets, supporting enterprises of various sizes. The data platform team designs and manages scalable storage systems and data processing tools that enable efficient handling of data-heavy workloads across engineering and data science functions.
About the Opportunity:
The SOFTWARE ENGINEER I - DATA PLATFORMS will contribute to the development and operation of core components within the data platform. This role supports scalability and reliability by building tools and services that facilitate adoption and management of data systems. The position involves automating infrastructure to improve performance and collaborating with engineering teams to address technical challenges. It offers the opportunity to take ownership of projects and develop technical skills in a supportive environment.
Responsibilities:
Design, develop, and operate core data platform components.
Build tools and services to simplify data system adoption and scaling.
Automate infrastructure and operations for enhanced reliability and scalability.
Apply GenAI techniques to improve developer and operator experiences.
Collaborate with engineering teams to resolve scalability and reliability issues.
Deliver features end-to-end with guidance from senior engineers.
Requirements:
At least 1 year of professional software engineering experience, preferably in backend, distributed systems, or infrastructure.
Proficiency in Python, Go, or a similar programming language.
Strong understanding of software engineering principles including data structures, clean code, testing, and debugging.
Interest in AWS, Databricks, and technologies such as databases, streaming, and orchestration.
Problem-solving skills, curiosity, and effective communication.
Ability to work independently and collaboratively.
Nice to Have:
Experience with Kafka, Kinesis, or Flink.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Exposure to large-scale or data-intensive systems.
Pay Range and Compensation Package:
Base salary range: $122,400 to $176,000 USD.
This role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Actual compensation will be determined based on skills, experience, qualifications, and geographic location.
Benefits & Perks:
Not explicitly specified.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes