Full Stack Data Engineer

Omni Inclusive

United States

United States

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We are seeking a highly skilled and business savvy Full Stack 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.
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.

United States

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English

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