Support Data Engineer

Found in: Appcast US C2 - 2 weeks ago


Westport, United States Bridgeton Research Group LLC Full time

Company Overview:

We are a technology-driven firm specializing in the development and implementation of quantitative trading strategies. Leveraging our proprietary platform, we provide data-driven insights to institutional investors and commercial hedgers across equities, futures, and foreign exchange markets. Our focus on innovation and data analysis allows us to deliver cutting-edge solutions that complement traditional investment processes.


Position Overview:

We are seeking a talented Python engineer with a knack for troubleshooting to join our team as a Support Data Engineer. In this role, you will play a critical part in maintaining and enhancing our data ingestion infrastructure. You will have the opportunity to work on a high-volume data ingestion system, contributing to the foundation of our advanced analytical capabilities.


Responsibilities:

  • Identify, design, and implement internal process improvements to enhance scalability and efficiency of our infrastructure.
  • Maintain and update existing infrastructure to ensure optimal extraction, transformation, and loading of data to support our research team.
  • Produce and maintain comprehensive documentation for the codebase in alignment with industry standards.
  • Create and deliver client reports based on data analysis and insights.


Requirements:

  • Proficiency in Python with experience in developing robust, scalable solutions.
  • Familiarity with Python libraries such as Pandas, NumPy, SQLAlchemy, and Matplotlib for data manipulation, analysis, and visualization.
  • Strong understanding of SQL for data querying and manipulation.
  • Ability to conduct root cause analysis on both external and internal processes.
  • Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts clearly and concisely.
  • Bachelor’s degree in computer science, engineering, or a related field, with a GPA above 3.0.
  • Desire to take ownership of projects and work autonomously within a collaborative team environment.


Benefits:

  • Competitive salary and benefits package.
  • Opportunity for professional growth and development in a dynamic, fast-paced industry.
  • Exposure to cutting-edge technologies and methodologies in quantitative finance.
  • Collaborative work environment with a focus on innovation and continuous improvement.


How to Apply:

If you are passionate about Python development, data analysis, and problem-solving, and thrive in a challenging yet rewarding environment, we encourage you to apply. Please submit your resume and a cover letter outlining your relevant experience and why you are interested in joining our team.


Note: This position is on-site. We are an equal opportunity employer and value diversity in our workforce.


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