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Full Stack Data Engineer

Location: REMOTE
Posted On: 04/29/2026
Requirement Code: 73611
Requirement Detail
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.


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