Full Stack Data Engineer & Analytics DeveloperTPI Global Solutions • United States
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Full Stack Data Engineer & Analytics Developer
TPI Global Solutions
- United States
- United States
À propos
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.
Compétences linguistiques
- English
Avis aux utilisateurs
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