Junior Data Engineer

Edgestream Partners is a tight-knit team of scientists, engineers, and business professionals who devote our talents to developing quantitative models of financial markets and using them to trade systematically around the world and around the clock.

Edgestream's culture has more in common with research laboratories and technology startups than with traditional finance. We prize curiosity, creativity, diligence, and intellectual honesty. We focus on the long term, working together to build elegant and general systems that endure and scale as we grow. We incentivize cooperation and the open exchange of ideas because we know that compounding our efforts magnifies our achievements. The result is an environment where thoughtful, high-quality work can have an outsized impact.

We have been operating as a quantitative hedge fund since 2003 and continue to grow. We are looking for talented, motivated individuals who are eager to learn and grow with us over the long term.

Edgestream is seeking a Junior Data Engineer to support the development, maintenance, and monitoring of our data pipelines. This role is ideal for an early-career engineer with strong Python skills, a solid technical foundation, 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:

• Assist in the design, implementation, and maintenance of data pipelines used to ingest, process, and store financial data.
• Develop and maintain Python-based tools for data retrieval, transformation, validation, and analysis.
• Monitor data pipelines and help identify, diagnose, and resolve data quality or operational issues.
• Support the onboarding of new data sources for both historical research and real-time trading systems.
• Perform exploratory and validation analyses to ensure data accuracy, consistency, and completeness.
• Contribute to 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.

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 and NumPy.
• 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.
• Basic experience with one or more of the following is a plus:
  • SQL / relational databases (e.g., Postgres),
  • Linux/UNIX environments and command-line tools,
  • Version control systems (e.g., Git).
• 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.

Some of the benefits of working at Edgestream:

• Competitive salary, bonus, and incentive compensation based on overall company performance.
• Outstanding technical and data resources accumulated over decades of systematic trading.
• Comprehensive, first-class benefits, including excellent medical and dental coverage, 401(k), HRA, FSA, and life insurance, catered lunch, and an onsite gym.
• For qualified employees, the opportunity to invest in Edgestream-managed funds.
• A collaborative, intellectually rigorous environment with strong mentorship and long-term growth opportunities.

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Legal disclaimer: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.