5 дней назад
Spring 2027 Investment Data Engineer Co-op (January - June)
21 - 25$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Spring 2027 Investment Data Engineer Co-op (January - June) (Investment Data/Python/SQL): Developing scalable pipelines and unified investment data products for investment decision-making, risk management, and client reporting with an accent on data integration, quality, resiliency, and monitoring. Focus on building ingestion and transformation workflows, deploying data products, and maintaining reliable investment data systems.
Location: Boston, United States; hybrid remote/onsite work environment
Hourly pay rate: $21.00–$25.00
Company
is a global investment management firm focused on long-term value, responsible investing, and mutual fund and multi-asset investment solutions.
What you will do
- Develop scalable pipelines to ingest and process investment data from internal and external sources.
- Contribute to coding and data engineering solutions that support investment decision-making, risk management, and client reporting.
- Improve data quality, resiliency, controls, efficiency, and monitoring across the unified investment data platform.
- Collaborate with engineers, investment professionals, and vendor partners to develop and deploy data products.
- Integrate and enhance data ingestion, delivery, transformation, and orchestration tools.
- Assist with outage response and maintaining system reliability.
Requirements
- Currently pursuing a bachelor's degree in Computer Science, Data Science, or a related field; junior or senior year preferred.
- Coursework or project experience in data engineering, data integration, or data analytics.
- Familiarity with Python, SQL, or similar programming languages.
- Interest in financial services and willingness to learn about financial instruments and investment data.
- Strong problem-solving skills and ability to collaborate in a team environment.
- Availability for a six-month, full-time co-op from January 13 through June 25, 2027, working Monday through Friday for 35–40 hours per week.
Nice to have
- Exposure to Agile methodologies such as Scrum or Kanban.
- Familiarity with Snowflake, Redshift, or BigQuery.
Culture & Benefits
- Mentorship from experienced data engineering and financial services professionals.
- Hands-on experience with modern data engineering tools and techniques.
- Participation in co-op orientation, leadership speaker sessions, networking events, and presentation challenges.
- Opportunity to work on projects supporting investment decisions and client reporting.
- Structured experience designed for undergraduate students enrolled in a university co-op program.
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