Junior Data Engineer

Edgestream•Princeton, NJ

About The Position

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.

Requirements

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.
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.

Nice To Haves

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).

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.

Benefits

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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