Python Full Stack Engineer

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan, and they are seeking a highly skilled Full Stack Data Engineer & Analytics Developer. This role blends data analytics, backend engineering, and frontend development, focusing on bridging the gap between raw data and actionable business insights.

Responsibilities:

• Develop, maintain, and optimize interactive dashboards and reports using Power BI
• Collaborate with cross functional teams to translate business objectives into analytical and technical solutions
• Extract, manipulate, and analyze large datasets using SQL (Postgres, Snowflake) and Python
• Build and maintain backend services using Python Flask and SQLAlchemy
• Develop and enhance front-end interfaces using JavaScript, React, Ag-Grid, and CSS
• Identify key trends, patterns, and anomalies in data to support strategic decision making
• Build and maintain data pipelines and integrations, ensuring data integrity, performance, and reliability
• Conduct ad-hoc analysis to support operational and strategic initiatives
• Present technical and analytical insights to stakeholders in a clear and compelling manner
• Stay current with emerging tools, frameworks, and best practices in analytics and full stack development
• Design and execute software testing activities based on documented business and technical requirements

Requirements:

• 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 hybrid roles
• Advanced Power BI skills including DAX, data modeling, and report optimization
• Proficiency with SQL (joins, CTEs, subqueries) and experience with Postgres and Snowflake
• Strong programming skills in Python (pandas, NumPy, matplotlib, seaborn) and experience with Flask and SQLAlchemy
• Frontend experience using JavaScript, React, Ag‑Grid, HTML, and CSS
• Ability to communicate complex findings to non‑technical stakeholders
• Experience with data warehousing and ETL processes is a plus
• Web development experience (Ajax, HTML, CSS, JavaScript)
• Familiarity with version control tools (e.g., Git)
• Exposure to business domains such as finance, marketing, operations, or sales analytics
• Knowledge of machine learning or predictive modeling
• Bonus points: Experience with PHP, ThoughtSpot, Sigma Computing