Full Stack Data Engineer - Remote / Telecommute

• Responsible for developing end-to-end data and analytics solutions, including dashboards, backend services, and frontend interfaces.
• Collaborates with cross-functional teams to transform business requirements into scalable analytical and technical solutions while ensuring data integrity and performance., * Develop and maintain interactive dashboards and reports using Power BI.
• Collaborate with stakeholders to translate business needs into analytical solutions.
• Extract, manipulate, and analyze data using SQL and Python.
• Build and maintain backend services and APIs.
• Develop and enhance frontend interfaces for data applications.
• Identify trends, patterns, and insights to support decision making.
• Build and maintain data pipelines ensuring performance and reliability.
• Conduct ad hoc data analysis for business initiatives.
• Present insights and findings clearly to stakeholders.
• Design and execute testing activities based on requirements.
• Stay updated with emerging tools and best practices.

• Bachelor s degree in Business, Data Science, Computer Science, Statistics, or related field.
• 3+ years of experience in data analytics, full stack development, or similar roles.
• Advanced Power BI skills including DAX, data modeling, and report optimization.
• Strong proficiency in SQL including joins, CTEs, and subqueries.
• Experience working with databases such as Postgres and Snowflake.
• Strong programming skills in Python including data analysis libraries.
• Experience with Flask and SQLAlchemy for backend development.
• Frontend development experience using JavaScript, React, HTML, and CSS.
• Ability to communicate technical concepts to non-technical stakeholders.

Experience:

• Experience working with large datasets and data analysis.
• Experience building data pipelines and ETL processes preferred.
• Experience in web development and analytics platforms., * Experience with version control tools such as Git.
• Exposure to business domains such as finance, marketing, or operations.
• Knowledge of machine learning or predictive modeling.
• Experience with additional tools such as PHP or analytics platforms.

Skills:

• Data analytics and visualization.
• Full stack development.
• Database management and ETL processes.
• Problem-solving and communication.

Qualification And Education:

• Bachelor s degree in a relevant field.