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# Senior Full Stack Developer (Data Engineering)

- **Company:** Agile Tech Labs
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, HTML5, Automation of Tests, Microsoft Azure, BigQuery, Cascading Style Sheets (CSS), Code Review, Continuous Integration, Information Engineering, Data Warehousing, Database Queries, Django Web Framework, Python (Programming Language), Performance Tuning, Next.js, TypeScript, Data Processing, Google Cloud, ReactJS, Flask (Web Framework), Snowflake, Generative AI, Git, Fastapi, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Api Design, Restful APIs, Terraform, Es2015, Data Pipelines, Docker, Amazon Redshift, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/3741159b-64dc-41f9-b4cf-354645c55dcb

## About the Role

* 5+ years of experience with Python, including API development and data processing.
 * Strong SQL skills, including complex queries, data modeling, and performance tuning.
 * 2+ years of hands-on experience with dbt, including models, testing, and documentation.
 * 3+ years of experience developing production applications using React.
 * Strong knowledge of JavaScript (ES6+), HTML5, and CSS3.
 * Experience building REST APIs using FastAPI, Flask, or Django.
 * Experience designing and maintaining ELT pipelines and data warehouses.
 * Hands-on experience with Git, code reviews, automated testing, and CI/CD.
 * Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
 * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
 * Strong communication skills and experience working directly with clients.

Preferred:

 * TypeScript, Next.js, Airflow, Dagster, or Prefect.
 * Experience with Snowflake, BigQuery, Redshift, or Databricks.
 * Knowledge of Docker, Kubernetes, Terraform, or Kafka.
 * Experience with BI tools, AI/ML pipelines, or LLM-based applications.