Staff Software Engineer-Reference Data

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer-Reference Data based in United States.

We are seeking an experienced software engineer to help design and scale critical data platforms that power modern investment workflows. This role offers the opportunity to shape the architecture of complex systems handling large-scale financial data. You will work at the intersection of data engineering, distributed systems, and AI-driven product innovation. As a technical leader, you will influence engineering strategy, mentor peers, and drive solutions with significant business impact. You will collaborate with cross-functional teams to build reliable, scalable, and high-performance services. The ideal candidate thrives in a fast-paced environment and enjoys solving challenging technical problems. This is an opportunity to contribute to technology that transforms how investment professionals access and use data.

Accountabilities:: As a Staff Software Engineer, you will provide technical leadership and drive the development of scalable data solutions that support critical business capabilities. You will collaborate with engineering, product, and cross-functional teams to define technical strategies, improve platform capabilities, and deliver impactful solutions.

Lead the technical direction for complex software solutions, partnering with product teams and engineering stakeholders to align architecture with business goals.

Design, build, and maintain scalable data systems, including ingestion pipelines, data services, analytics infrastructure, and platform tooling.

Develop frameworks that enable high-performance processing and distribution of financial data while supporting AI-powered product initiatives.

Drive architectural discussions, evaluate technology decisions, and provide strategic guidance across engineering teams.

Build reliable systems using modern technologies such as Python, PySpark, Java, AWS, Terraform, Kubernetes, and microservices.

Mentor engineers, promote best practices, and contribute to a culture of technical excellence and continuous improvement.

Collaborate with multiple teams to deliver customer-focused outcomes and solve complex engineering challenges.

Operate effectively in a dynamic environment by balancing innovation, scalability, reliability, and delivery speed.

Requirements:

The ideal candidate is a highly experienced software engineer with a strong background in distributed systems, data platforms, and technical leadership. You should have a passion for solving complex problems, influencing engineering decisions, and building scalable solutions.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

7+ years of professional software engineering experience building and operating production systems.

Experience designing distributed systems, microservices architectures, and messaging-based solutions.

Strong knowledge of object-oriented programming languages such as Python, PySpark, or Java.

Experience working with relational databases, SQL, NoSQL systems, OLAP technologies, and/or modern data lake architectures.

Proven ability to lead complex technical projects involving multiple teams and stakeholders.

Strong communication skills with the ability to mentor engineers and influence technical direction.

Experience with cloud platforms, infrastructure automation, and scalable engineering practices.

Knowledge of financial concepts, investment data, or fintech environments is a plus.

Strong problem-solving skills, ownership mindset, and ability to operate effectively in a fast-moving environment.

Benefits:

Remote work flexibility within the United States.

Opportunity to work on large-scale data and AI-powered technology solutions.

Collaborative environment focused on innovation, ownership, and continuous learning.

Competitive compensation package.

Inclusive workplace culture that values diverse perspectives and experiences.

Supportive environment with opportunities for professional growth and technical leadership.

Reasonable accommodations available throughout the hiring process for candidates who need them.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1