Fullstack Engineer - Dash Plotly & Python

QUANTEAM - North America (RAINBOW PARTNERS Group); Houston (TX); On-site; USD 100,000 - 180,000; Full time

Job summary

A leading consulting firm is seeking a Fullstack Data Scientist to develop interactive dashboards and backend systems for high-frequency energy trading analytics. The role requires expertise in Python, Dash Plotly, and AWS, ensuring data accuracy and real-time insights for traders.

Qualifications

• Minimum of 5 years of experience in data science or fullstack development.
• Proven expertise in Dash Plotly and Streamlit for building dashboards.

Responsibilities

• Develop and maintain high-performance dashboards using Dash Plotly.
• Build scalable backend services and APIs in Python for data processing.
• Integrate AWS services to optimize data storage and processing.

Skills

Python

Dash Plotly

Streamlit

AWS

Data Analysis

Communication

Tools

Power BI

Pandas

NumPy

Plotly

Job description

Fullstack Engineer - Dash Plotly & Python

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QUANTEAM - North America (RAINBOW PARTNERS Group) provided pay range

This range is provided by QUANTEAM - North America (RAINBOW PARTNERS Group). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $180,000.00/yr

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 experts from 35 nationalities collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto, and Casablanca.

Description:

We are seeking an experienced Fullstack Data Scientist with a strong background in Python, AWS, and React to support our client’s high-frequency energy trading analytics initiatives. You will be instrumental in building interactive dashboards (Dash Plotly, Power BI, and Streamlit) and backend systems that provide real-time insights to traders and business stakeholders.

Key Responsibilities:

• Develop and maintain high-performance dashboards using Dash Plotly, Streamlit, and Power BI to visualize high-frequency energy trading data.
• Build scalable backend services and APIs in Python to process and analyze large time-series datasets.
• Design and implement user-friendly frontend components using React to support data exploration and decision-making.
• Collaborate with business stakeholders to translate analytical needs into actionable tools and dashboards.
• Conduct exploratory data analysis (EDA) and statistical modeling to uncover trends and anomalies.
• Integrate AWS services (e.g., S3, Lambda, ECS, Athena) to optimize data storage, processing, and deployment pipelines.
• Implement and manage real-time or near-real-time data pipelines using modern frameworks.
• Ensure data accuracy, integrity, and security throughout the analytics lifecycle.
• Maintain comprehensive documentation for dashboards, models, pipelines, and services to ensure reproducibility and ease of handover.

Required Qualifications:

• Minimum of 5 years of experience in data science, analytics engineering, or fullstack development for data solutions.
• Proven expertise in Dash Plotly and Streamlit for building dynamic and interactive dashboards.
• Strong proficiency in Power BI for building advanced visual reporting tools.
• Excellent programming skills in Python, with hands-on experience using libraries such strong as Pandas, NumPy, and Plotly.
• Experience working with high-frequency time-series data and managing real-time data processing.
• Hands-on experience with AWS cloud services (such as EC2, Lambda, S3, and RDS).
• Strong problem-solving skills and ability to work in a fast-paced trading environment.
• Excellent communication skills and ability to present complex data insights to non-technical stakeholders.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Financial Services and Services for Renewable Energy