About Us Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets and deploying them in systematic trading strategies continuously across global markets. Our work sits at the intersection of research, technology, and investment management, where rigorous analysis and robust engineering come together to build scalable trading systems. Our culture has more in common with a research lab or high-growth technology company than with a traditional financial institution.

We value intellectual curiosity, creativity, diligence, and integrity. We focus on long-term thinking, investing in ideas and systems that are designed to endure and evolve as markets and technologies change. Collaboration is central to how we work - we believe that an open exchange of ideas and close collaboration across disciplines allow us to build stronger models and better infrastructure that can ultimately empower better outcomes.

Founded in 2003, Edgestream has grown into a firm where thoughtful, high-quality work can have a meaningful and lasting impact. We continue to expand our capabilities and are looking for talented individuals who are excited to contribute to a collaborative research environment and grow with us in the years ahead. About the Job Edgestream is seeking a Data Engineer to build, scale and support our core data infrastructure used in both live trading and research.

This role is ideal for an early to mid-career engineer with strong Python skills, a solid technical foundation, attention to detail, and a demonstrated ability to take initiative and solve problems independently. You will work closely with senior data engineers, data scientists, and researchers, gaining exposure to the full lifecycle of financial data—from ingestion and validation to research and live trading systems.

Responsibilities

: Design, build, and maintain scalable, high-performance ETL pipelines that handle critical financial market data for both real-time trading and research. Drive automation of data operational workflows and exception handling, leveraging AI tools. Develop and maintain Python-based data tools to maximize productivity and turnaround time for research and reporting stakeholders.

Monitor data pipelines diagnosing and resolving data quality or operational issues. Facilitate the onboarding of new data sources for both historical research and real-time trading systems. Execute exploratory and validation analyses to ensure data accuracy, consistency, and completeness.

Contribute to the continuous development of our internal monitoring, logging, and reporting tools. Work in a Linux-based, distributed computing environment. Collaborate closely with senior data engineers, data scientists, portfolio managers, researchers, and trading operations staff.

Proactively identify opportunities to improve reliability, performance, or clarity within existing systems.

Required Qualifications

: Bachelor’s or Master’s degree in computer science, engineering, mathematics, physics, or a related quantitative discipline. Strong proficiency in Python, including experience with libraries such as Pandas, Polars and NumPy. A passion for AI and a demonstrated drive to leverage it for transforming and automating data workflows.

Demonstrate problem-solving ability and willingness to take ownership of tasks and follow them through to completion. Familiarity with data processing concepts such as ETL, data validation, and schema management. experience with all of the following: Ability to communicate clearly and work collaboratively in a team-oriented environment.

Intellectual curiosity and an eagerness to learn new tools, systems, and domains. No prior experience in finance is required.

Benefits

: Competitive salary, bonus, and incentive

Compensation

tied to overall firm performance. High ownership and visibility within a close-knit team of experienced engineers and seasoned researchers.