Job Title: Full Stack Data Engineer & Analytics Developer
Location: Remote
Job Type: Contract
Job Summary
We are seeking a highly skilled and business savvy FullStack Data Engineer & Analytics Developer to join our team. This role blends data analytics, backend engineering, and frontend development. The ideal candidate will possess strong analytical expertise, full stack development capabilities, and hands-on experience with databases including Postgres and Snowflake. You will help bridge the gap between raw data, scalable systems, and actionable business insights.
Key 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.
Required Qualifications
- 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).
Preferred Qualifications
- 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.